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Xiao L, Zhang L, Guo C, Xin Q, Gu X, Jiang C, Wu J. "Find Me" and "Eat Me" signals: tools to drive phagocytic processes for modulating antitumor immunity. Cancer Commun (Lond) 2024; 44:791-832. [PMID: 38923737 PMCID: PMC11260773 DOI: 10.1002/cac2.12579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 06/03/2024] [Accepted: 06/05/2024] [Indexed: 06/28/2024] Open
Abstract
Phagocytosis, a vital defense mechanism, involves the recognition and elimination of foreign substances by cells. Phagocytes, such as neutrophils and macrophages, rapidly respond to invaders; macrophages are especially important in later stages of the immune response. They detect "find me" signals to locate apoptotic cells and migrate toward them. Apoptotic cells then send "eat me" signals that are recognized by phagocytes via specific receptors. "Find me" and "eat me" signals can be strategically harnessed to modulate antitumor immunity in support of cancer therapy. These signals, such as calreticulin and phosphatidylserine, mediate potent pro-phagocytic effects, thereby promoting the engulfment of dying cells or their remnants by macrophages, neutrophils, and dendritic cells and inducing tumor cell death. This review summarizes the phagocytic "find me" and "eat me" signals, including their concepts, signaling mechanisms, involved ligands, and functions. Furthermore, we delineate the relationships between "find me" and "eat me" signaling molecules and tumors, especially the roles of these molecules in tumor initiation, progression, diagnosis, and patient prognosis. The interplay of these signals with tumor biology is elucidated, and specific approaches to modulate "find me" and "eat me" signals and enhance antitumor immunity are explored. Additionally, novel therapeutic strategies that combine "find me" and "eat me" signals to better bridge innate and adaptive immunity in the treatment of cancer patients are discussed.
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Affiliation(s)
- Lingjun Xiao
- State Key Laboratory of Pharmaceutical BiotechnologyNational Institute of Healthcare Data Science at Nanjing University, Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing UniversityNanjingJiangsuP. R. China
| | - Louqian Zhang
- State Key Laboratory of Pharmaceutical BiotechnologyNational Institute of Healthcare Data Science at Nanjing University, Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing UniversityNanjingJiangsuP. R. China
| | - Ciliang Guo
- State Key Laboratory of Pharmaceutical BiotechnologyNational Institute of Healthcare Data Science at Nanjing University, Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing UniversityNanjingJiangsuP. R. China
| | - Qilei Xin
- Jinan Microecological Biomedicine Shandong LaboratoryJinanShandongP. R. China
| | - Xiaosong Gu
- State Key Laboratory of Pharmaceutical BiotechnologyNational Institute of Healthcare Data Science at Nanjing University, Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing UniversityNanjingJiangsuP. R. China
- Jinan Microecological Biomedicine Shandong LaboratoryJinanShandongP. R. China
| | - Chunping Jiang
- State Key Laboratory of Pharmaceutical BiotechnologyNational Institute of Healthcare Data Science at Nanjing University, Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing UniversityNanjingJiangsuP. R. China
- Jinan Microecological Biomedicine Shandong LaboratoryJinanShandongP. R. China
| | - Junhua Wu
- State Key Laboratory of Pharmaceutical BiotechnologyNational Institute of Healthcare Data Science at Nanjing University, Jiangsu Key Laboratory of Molecular Medicine, Medical School, Nanjing UniversityNanjingJiangsuP. R. China
- Jinan Microecological Biomedicine Shandong LaboratoryJinanShandongP. R. China
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López-López Á, López-Gonzálvez Á, Barbas C. Metabolomics for searching validated biomarkers in cancer studies: a decade in review. Expert Rev Mol Diagn 2024; 24:601-626. [PMID: 38904089 DOI: 10.1080/14737159.2024.2368603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 06/12/2024] [Indexed: 06/22/2024]
Abstract
INTRODUCTION In the dynamic landscape of modern healthcare, the ability to anticipate and diagnose diseases, particularly in cases where early treatment significantly impacts outcomes, is paramount. Cancer, a complex and heterogeneous disease, underscores the critical importance of early diagnosis for patient survival. The integration of metabolomics information has emerged as a crucial tool, complementing the genotype-phenotype landscape and providing insights into active metabolic mechanisms and disease-induced dysregulated pathways. AREAS COVERED This review explores a decade of developments in the search for biomarkers validated within the realm of cancer studies. By critically assessing a diverse array of research articles, clinical trials, and studies, this review aims to present an overview of the methodologies employed and the progress achieved in identifying and validating biomarkers in metabolomics results for various cancer types. EXPERT OPINION Through an exploration of more than 800 studies, this review has allowed to establish a general idea about state-of-art in the search of biomarkers in metabolomics studies involving cancer which include certain level of results validation. The potential for metabolites as diagnostic markers to reach the clinic and make a real difference in patient health is substantial, but challenges remain to be explored.
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Affiliation(s)
- Ángeles López-López
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Madrid, Spain
| | - Ángeles López-Gonzálvez
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Madrid, Spain
| | - Coral Barbas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Madrid, Spain
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Nassar AF, Nie X, Zhang T, Yeung J, Norris P, He J, Ogura H, Babar MU, Muldoon A, Libreros S, Chen L. Is Lipid Metabolism of Value in Cancer Research and Treatment? Part I- Lipid Metabolism in Cancer. Metabolites 2024; 14:312. [PMID: 38921447 PMCID: PMC11205345 DOI: 10.3390/metabo14060312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/12/2024] [Accepted: 05/16/2024] [Indexed: 06/27/2024] Open
Abstract
For either healthy or diseased organisms, lipids are key components for cellular membranes; they play important roles in numerous cellular processes including cell growth, proliferation, differentiation, energy storage and signaling. Exercise and disease development are examples of cellular environment alterations which produce changes in these networks. There are indications that alterations in lipid metabolism contribute to the development and progression of a variety of cancers. Measuring such alterations and understanding the pathways involved is critical to fully understand cellular metabolism. The demands for this information have led to the emergence of lipidomics, which enables the large-scale study of lipids using mass spectrometry (MS) techniques. Mass spectrometry has been widely used in lipidomics and allows us to analyze detailed lipid profiles of cancers. In this article, we discuss emerging strategies for lipidomics by mass spectrometry; targeted, as opposed to global, lipid analysis provides an exciting new alternative method. Additionally, we provide an introduction to lipidomics, lipid categories and their major biological functions, along with lipidomics studies by mass spectrometry in cancer samples. Further, we summarize the importance of lipid metabolism in oncology and tumor microenvironment, some of the challenges for lipodomics, and the potential for targeted approaches for screening pharmaceutical candidates to improve the therapeutic efficacy of treatment in cancer patients.
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Affiliation(s)
- Ala F. Nassar
- Department of Immunobiology, Yale University, West Haven, CT 06516, USA
| | - Xinxin Nie
- Department of Immunobiology, Yale University, West Haven, CT 06516, USA
| | - Tianxiang Zhang
- Department of Immunobiology, Yale University, West Haven, CT 06516, USA
| | - Jacky Yeung
- Department of Immunobiology, Yale University, West Haven, CT 06516, USA
| | - Paul Norris
- Sciex, 500 Old Connecticut Path, Framingham, MA 01701, USA
| | - Jianwei He
- Department of Immunobiology, Yale University, West Haven, CT 06516, USA
| | - Hideki Ogura
- Department of Microbiology, Hyogo Medical University, Nishinomiya 663-8501, Japan
| | - Muhammad Usman Babar
- Department of Pathology, Yale University, New Haven, CT 06520, USA
- Vascular Biology and Therapeutic Program, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Anne Muldoon
- Department of Immunobiology, Yale University, West Haven, CT 06516, USA
| | - Stephania Libreros
- Department of Pathology, Yale University, New Haven, CT 06520, USA
- Vascular Biology and Therapeutic Program, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Lieping Chen
- Department of Immunobiology, Yale University, West Haven, CT 06516, USA
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Truong JXM, Rao SR, Ryan FJ, Lynn DJ, Snel MF, Butler LM, Trim PJ. Spatial MS multiomics on clinical prostate cancer tissues. Anal Bioanal Chem 2024; 416:1745-1757. [PMID: 38324070 DOI: 10.1007/s00216-024-05178-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/08/2024]
Abstract
Mass spectrometry (MS) and MS imaging (MSI) are used extensively for both the spatial and bulk characterization of samples in lipidomics and proteomics workflows. These datasets are typically generated independently due to different requirements for sample preparation. However, modern omics technologies now provide higher sample throughput and deeper molecular coverage, which, in combination with more sophisticated bioinformatic and statistical pipelines, make generating multiomics data from a single sample a reality. In this workflow, we use spatial lipidomics data generated by matrix-assisted laser desorption/ionization MSI (MALDI-MSI) on prostate cancer (PCa) radical prostatectomy cores to guide the definition of tumor and benign tissue regions for laser capture microdissection (LCM) and bottom-up proteomics all on the same sample and using the same mass spectrometer. Accurate region of interest (ROI) mapping was facilitated by the SCiLS region mapper software and dissected regions were analyzed using a dia-PASEF workflow. A total of 5525 unique protein groups were identified from all dissected regions. Lysophosphatidylcholine acyltransferase 1 (LPCAT1), a lipid remodelling enzyme, was significantly enriched in the dissected regions of cancerous epithelium (CE) compared to benign epithelium (BE). The increased abundance of this protein was reflected in the lipidomics data with an increased ion intensity ratio for pairs of phosphatidylcholines (PC) and lysophosphatidylcholines (LPC) in CE compared to BE.
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Affiliation(s)
- Jacob X M Truong
- The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia
- South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, 5000, Australia
- Freemasons Centre for Male Health and Wellbeing, University of Adelaide, North Terrace, Adelaide, South Australia, 5000, Australia
- South Australian immunoGENomics Cancer Institute (SAiGENCI), North Terrace, Adelaide, South Australia, 5000, Australia
| | - Sushma R Rao
- The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia
- South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, 5000, Australia
| | - Feargal J Ryan
- South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, 5000, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, South Australia, 5042, Australia
| | - David J Lynn
- South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, 5000, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, South Australia, 5042, Australia
| | - Marten F Snel
- The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia
- South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, 5000, Australia
| | - Lisa M Butler
- The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia
- South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, 5000, Australia
- Freemasons Centre for Male Health and Wellbeing, University of Adelaide, North Terrace, Adelaide, South Australia, 5000, Australia
- South Australian immunoGENomics Cancer Institute (SAiGENCI), North Terrace, Adelaide, South Australia, 5000, Australia
| | - Paul J Trim
- The University of Adelaide, North Terrace, Adelaide, SA, 5000, Australia.
- South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, 5000, Australia.
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Khade OS, Sasidharan S, Jain A, Maradani BS, Chatterjee A, Gopal D, Ravi Kumar RK, Krishnakumar S, Pandey A, Janakiraman N, Elchuri SV, Gundimeda S. Identification of dysregulation of sphingolipids in retinoblastoma using liquid chromatography-mass spectrometry. Exp Eye Res 2024; 240:109798. [PMID: 38246332 DOI: 10.1016/j.exer.2024.109798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 12/20/2023] [Accepted: 01/18/2024] [Indexed: 01/23/2024]
Abstract
Retinoblastoma (RB) is a rare ocular cancer seen in children that counts for approximately 3% of all childhood cancers. It is found that mutation in RB1, a tumour Suppressor Gene on chromosome 13 as the cause of malignancy. Retinoblastoma protein is the target for ceramide to cause apoptosis. We studied lipidomics of two RB cell lines, one aggressive cell line (NCC-RbC-51) derived from a metastatic site and one non aggressive cell line (WERI-Rb1) in comparison with a control cell line (MIO-M1). Lipid profiles of all the cell lines were studied using high resolution mass spectrometer coupled to high performance liquid chromatography. Data acquired from all the three cell lines in positive mode were analyzed to identify differentially expressed metabolites. Several phospholipids and lysophospholipids were found to be dysregulated. We observed upregulation of hexosyl ceramides, and down regulation of dihydroceramides and higher order sphingoglycolipids hinting at a hindered sphingolipid biosynthesis. The results obtained from liquid chromatography-mass spectrometry are validated by using qPCR and it was observed that genes involved in ceramide biosynthesis pathway are getting down regulated.
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Affiliation(s)
- Omkar Surendra Khade
- Institute of Bioinformatics, Bangalore, Karnataka, India; Manipal Academy of Higher Education, Mangalore, Karnataka, India
| | - Sruthy Sasidharan
- Institute of Bioinformatics, Bangalore, Karnataka, India; Manipal Academy of Higher Education, Mangalore, Karnataka, India
| | - Ankit Jain
- Institute of Bioinformatics, Bangalore, Karnataka, India
| | | | - Amit Chatterjee
- Department of Nanobiotechnology, Vision Research Foundation, Sankara Nethralaya, Chennai, India
| | - Divya Gopal
- Department of Nanobiotechnology, Vision Research Foundation, Sankara Nethralaya, Chennai, India
| | | | - Subramaniyan Krishnakumar
- Department of Nanobiotechnology, Vision Research Foundation, Sankara Nethralaya, Chennai, India; Department of Histopathology, Radheshyam Stem Cell Biology, Vision Research Foundation, Sankara Nethralaya, Chennai, India
| | - Akhilesh Pandey
- Institute of Bioinformatics, Bangalore, Karnataka, India; Manipal Academy of Higher Education, Mangalore, Karnataka, India; Department of Laboratory Medicine and Pathology, Centre for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Narayanan Janakiraman
- Department of Nanobiotechnology, Vision Research Foundation, Sankara Nethralaya, Chennai, India
| | - Sailaja V Elchuri
- Department of Nanobiotechnology, Vision Research Foundation, Sankara Nethralaya, Chennai, India.
| | - Seetaramanjaneyulu Gundimeda
- Institute of Bioinformatics, Bangalore, Karnataka, India; Manipal Academy of Higher Education, Mangalore, Karnataka, India.
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Mora-Rodríguez JM, Sánchez BG, Sebastián-Martín A, Díaz-Yuste A, Sánchez-Chapado M, Palacín AM, Sánchez-Rodríguez C, Bort A, Díaz-Laviada I. Resistance to 2-Hydroxy-Flutamide in Prostate Cancer Cells Is Associated with the Downregulation of Phosphatidylcholine Biosynthesis and Epigenetic Modifications. Int J Mol Sci 2023; 24:15626. [PMID: 37958610 PMCID: PMC10650717 DOI: 10.3390/ijms242115626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 10/18/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023] Open
Abstract
In this study, we examined the metabolic adaptations of a chemoresistant prostate cancer cell line in comparison to a sensitive cell line. We utilized prostate cancer LNCaP cells and subjected them to a stepwise increase in the antiandrogen 2-hydroxy-flutamide (FLU) concentration to generate a FLU-resistant cell line (LN-FLU). These LN-FLU cells displayed characteristics of cancer stem cells, exhibited drug resistance, and showed a significantly reduced expression of Cyclin D1, along with the overexpression of p16, pointing to a proliferation arrest. In comparing the cancer stem-like LN-FLU cells to the LNCaP cells, we observed a decrease in the expression of CTP-choline cytidylyl transferase α (CCTα), as well as a decline in choline kinase, suggesting altogether a downregulation of the phosphatidylcholine biosynthetic pathway. In addition, we found decreased levels of the protein methyl transferase PRMT2 and the upregulation of the histone deacetylase Sirtuin1 (Sirt1). Analysis of the human prostate cancer samples revealed similar results in a population with high expressions of the stem cell markers Oct4 and ABCB1A1. Our findings suggest that the adaptation of prostate cancer cells to antiandrogens could induce reprogramming into stem cells that survive in a low phosphocholine metabolism and cell cycle arrest and display drug resistance.
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Affiliation(s)
- José María Mora-Rodríguez
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine and Health Sciences, University of Alcalá, 28871 Alcalá de Henares, Madrid, Spain; (J.M.M.-R.); (B.G.S.); (A.S.-M.); (A.D.-Y.)
- Health Research Institute of Castilla-La Mancha (IDISCAM), 13700 Tomelloso, Ciudad Real, Spain
| | - Belén G. Sánchez
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine and Health Sciences, University of Alcalá, 28871 Alcalá de Henares, Madrid, Spain; (J.M.M.-R.); (B.G.S.); (A.S.-M.); (A.D.-Y.)
- Health Research Institute of Castilla-La Mancha (IDISCAM), 13700 Tomelloso, Ciudad Real, Spain
| | - Alba Sebastián-Martín
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine and Health Sciences, University of Alcalá, 28871 Alcalá de Henares, Madrid, Spain; (J.M.M.-R.); (B.G.S.); (A.S.-M.); (A.D.-Y.)
- Health Research Institute of Castilla-La Mancha (IDISCAM), 13700 Tomelloso, Ciudad Real, Spain
| | - Alba Díaz-Yuste
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine and Health Sciences, University of Alcalá, 28871 Alcalá de Henares, Madrid, Spain; (J.M.M.-R.); (B.G.S.); (A.S.-M.); (A.D.-Y.)
- Health Research Institute of Castilla-La Mancha (IDISCAM), 13700 Tomelloso, Ciudad Real, Spain
| | - Manuel Sánchez-Chapado
- Department of Urology, Príncipe de Asturias Hospital, 28805 Alcalá de Henares, Madrid, Spain; (M.S.-C.); (A.M.P.); (C.S.-R.)
| | - Ana María Palacín
- Department of Urology, Príncipe de Asturias Hospital, 28805 Alcalá de Henares, Madrid, Spain; (M.S.-C.); (A.M.P.); (C.S.-R.)
| | - Carlos Sánchez-Rodríguez
- Department of Urology, Príncipe de Asturias Hospital, 28805 Alcalá de Henares, Madrid, Spain; (M.S.-C.); (A.M.P.); (C.S.-R.)
| | - Alicia Bort
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine and Health Sciences, University of Alcalá, 28871 Alcalá de Henares, Madrid, Spain; (J.M.M.-R.); (B.G.S.); (A.S.-M.); (A.D.-Y.)
- Health Research Institute of Castilla-La Mancha (IDISCAM), 13700 Tomelloso, Ciudad Real, Spain
- Department of Comparative Medicine, School of Medicine, Yale University, New Haven, CT 06519, USA
| | - Inés Díaz-Laviada
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine and Health Sciences, University of Alcalá, 28871 Alcalá de Henares, Madrid, Spain; (J.M.M.-R.); (B.G.S.); (A.S.-M.); (A.D.-Y.)
- Health Research Institute of Castilla-La Mancha (IDISCAM), 13700 Tomelloso, Ciudad Real, Spain
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Extensive metabolic consequences of human glycosyltransferase gene knockouts in prostate cancer. Br J Cancer 2023; 128:285-296. [PMID: 36347965 PMCID: PMC9902621 DOI: 10.1038/s41416-022-02040-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Naturally occurring germline gene deletions (KO) represent a unique setting to interrogate gene functions. Complete deletions and differential expression of the human glycosyltransferase UGT2B17 and UGT2B28 genes are linked to prostate cancer (PCa) risk and progression, leukaemia, autoimmune and other diseases. METHODS The systemic metabolic consequences of UGT deficiencies were examined using untargeted and targeted mass spectrometry-based metabolomics profiling of carefully matched, treatment-naive PCa cases. RESULTS Each UGT KO differentially affected over 5% of the 1545 measured metabolites, with divergent metabolic perturbations influencing the same pathways. Several of the perturbed metabolites are known to promote PCa growth, invasion and metastasis, including steroids, ceramides and kynurenine. In UGT2B17 KO, reduced levels of inactive steroid-glucuronides were compensated by sulfated derivatives that constitute circulating steroid reservoirs. UGT2B28 KO presented remarkably lower levels of oxylipins paralleled by reduced inflammatory mediators, but higher ceramides unveiled as substrates of the enzyme in PCa cells. CONCLUSION The distinctive and broad metabolic rewiring caused by UGT KO reinforces the need to examine their unique and divergent functions in PCa biology.
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Zhang L, Liu X, Liu Y, Yan F, Zeng Y, Song Y, Fang H, Song D, Wang X. Lysophosphatidylcholine inhibits lung cancer cell proliferation by regulating fatty acid metabolism enzyme long-chain acyl-coenzyme A synthase 5. Clin Transl Med 2023; 13:e1180. [PMID: 36639836 PMCID: PMC9839868 DOI: 10.1002/ctm2.1180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/31/2022] [Accepted: 01/05/2023] [Indexed: 01/15/2023] Open
Abstract
Lung cancer is a widespread malignancy with a high death rate and disorder of lipid metabolism. Lysophosphatidylcholine (lysoPC) has anti-tumour effects, although the underlying mechanism is not entirely known. The purpose of this study aims at defining changes in lysoPC in lung cancer patients, the effects of lysoPC on lung cancer cells and molecular mechanisms. Lung cancer cell sensitivity to lysoPC was evaluated and decisive roles of long-chain acyl-coenzyme A synthase 5 (ACSL5) in lysoPC regulation were defined by comprehensively evaluating transcriptomic changes of ACSL5-downregulated epithelia. ACSL5 over-expressed in ciliated, club and Goblet cells in lung cancer patients, different from other lung diseases. LysoPC inhibited lung cancer cell proliferation, by inducing mitochondrial dysfunction, altering lipid metabolisms, increasing fatty acid oxidation and reprograming ACSL5/phosphoinositide 3-kinase/extracellular signal-regulated kinase-regulated triacylglycerol-lysoPC balance. Thus, this study provides a general new basis for the discovery of reprogramming metabolisms and metabolites as a new strategy of lung cancer precision medicine.
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Affiliation(s)
- Linlin Zhang
- Department of Pulmonary and Critical Care MedicineZhongshan Hospital, Fudan University Shanghai Medical CollegeShanghaiChina
| | - Xuanqi Liu
- Shanghai Institute of Clinical BioinformaticsShanghaiChina
| | - Yifei Liu
- Center of Molecular Diagnosis and TherapyThe Second Hospital of Fujian Medical UniversityQuanzhouChina
| | - Furong Yan
- Department of Pulmonary and Critical Care MedicineZhongshan Hospital, Fudan University Shanghai Medical CollegeShanghaiChina,Center of Molecular Diagnosis and TherapyThe Second Hospital of Fujian Medical UniversityQuanzhouChina
| | - Yiming Zeng
- Center of Molecular Diagnosis and TherapyThe Second Hospital of Fujian Medical UniversityQuanzhouChina
| | - Yuanlin Song
- Department of Pulmonary and Critical Care MedicineZhongshan Hospital, Fudan University Shanghai Medical CollegeShanghaiChina,Shanghai Institute of Clinical BioinformaticsShanghaiChina,Shanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Hao Fang
- Department of AnesthesiologyZhongshan and Minhang HospitalFudan UniversityShanghaiChina
| | - Dongli Song
- Department of Pulmonary and Critical Care MedicineZhongshan Hospital, Fudan University Shanghai Medical CollegeShanghaiChina,Shanghai Institute of Clinical BioinformaticsShanghaiChina,Shanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Xiangdong Wang
- Department of Pulmonary and Critical Care MedicineZhongshan Hospital, Fudan University Shanghai Medical CollegeShanghaiChina,Shanghai Institute of Clinical BioinformaticsShanghaiChina,Shanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
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Ossoliński K, Ruman T, Ossoliński T, Ossolińska A, Arendowski A, Kołodziej A, Płaza-Altamer A, Nizioł J. Monoisotopic silver nanoparticles-based mass spectrometry imaging of human bladder cancer tissue: Biomarker discovery. Adv Med Sci 2022; 68:38-45. [PMID: 36566601 DOI: 10.1016/j.advms.2022.12.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 09/05/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE Bladder cancer (BC) is the 10th most common form of cancer worldwide and the 2nd most common cancer of the urinary tract after prostate cancer, taking into account both incidence and prevalence. MATERIALS/METHODS Tissues from patients with BC and also tissue extracts were analyzed by laser desorption/ionization mass spectrometry imaging (LDI-MSI) with monoisotopic silver-109 nanoparticles-enhanced target (109AgNPET). RESULTS Univariate and multivariate statistical analyses revealed 10 metabolites that differentiated between tumor and normal tissues from six patients with diagnosed BC. Selected metabolites are discussed in detail in relation to their mass spectrometry (MS) imaging results. The pathway analysis enabled us to link these compounds with 17 metabolic pathways. CONCLUSIONS According to receiver operating characteristic (ROC) analysis of biomarkers, 10 known metabolites were identified as the new potential biomarkers with areas under the curve (AUC) higher than >0.99. In both univariate and multivariate analysis, it was predicted that these compounds could serve as useful discriminators of cancerous versus normal tissue in patients diagnosed with BC.
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Affiliation(s)
| | - Tomasz Ruman
- Rzeszów University of Technology, Faculty of Chemistry, Rzeszów, Poland
| | | | - Anna Ossolińska
- Department of Urology, John Paul II Hospital, Kolbuszowa, Poland
| | - Adrian Arendowski
- Rzeszów University of Technology, Faculty of Chemistry, Rzeszów, Poland
| | - Artur Kołodziej
- Rzeszów University of Technology, Faculty of Chemistry, Rzeszów, Poland; Doctoral School of Engineering and Technical Sciences at the Rzeszów University of Technology, Rzeszów, Poland
| | - Aneta Płaza-Altamer
- Rzeszów University of Technology, Faculty of Chemistry, Rzeszów, Poland; Doctoral School of Engineering and Technical Sciences at the Rzeszów University of Technology, Rzeszów, Poland
| | - Joanna Nizioł
- Rzeszów University of Technology, Faculty of Chemistry, Rzeszów, Poland.
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10
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Kwon HJ, Oh JY, Lee KS, Lim HK, Lee J, Yoon HR, Jung J. Lipid Profiles Obtained from MALDI Mass Spectrometric Imaging in Liver Cancer Metastasis Model. Int J Anal Chem 2022; 2022:6007158. [PMID: 36337119 PMCID: PMC9633205 DOI: 10.1155/2022/6007158] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 09/30/2022] [Accepted: 10/12/2022] [Indexed: 05/31/2024] Open
Abstract
Liver cancer metastasis is known to be a poor prognosis and a leading cause of mortality. To overcome low therapeutic efficacy, understanding the physiological properties of liver cancer metastasis is required. However, the metastatic lesion is heterogeneous and complex. We investigate the distribution of lipids using matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) in an experimental metastasis model. We obtained the differentially expressed mass peaks in comparison between normal sites and metastatic lesions. The relationship of mass to charge ratio (m/z) and intensity were measured, m/z-indicated species were analyzed by MALDI-MS/MS analysis, and identification of these mass species was confirmed using the METASPACEannotation platform and Lipid Maps®. MALDI-MSI at m/z 725.6, 734.6, 735.6, 741.6, 742.6, 744.6, 756.6, and 772.6 showed significantly higher intensity, consistent with the metastatic lesions in hematoxylin-stained tissues. Sphingomyelin SM [d18:0/16:1], phosphatidylcholine (PC) [32:0], PC [31:0], PC [31:1], and PE [36:2] were highly expressed in metastatic lesions. Our results could provide information for understanding metastatic lesions. It suggests that the found lipids could be a biomarker for the diagnosis of metastatic lesions.
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Affiliation(s)
- Hee Jung Kwon
- Department of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea
- Duksung Innovative Drug Center, Duksung Women's University, Seoul 01369, Republic of Korea
| | - Joo Yeon Oh
- ASTA, Inc., Gyeonggi-do 16229, Republic of Korea
| | | | - Hyun Kyung Lim
- Department of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea
- Duksung Innovative Drug Center, Duksung Women's University, Seoul 01369, Republic of Korea
| | - Jisun Lee
- Department of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea
| | - Hye-Ran Yoon
- Department of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea
| | - Joohee Jung
- Department of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea
- Duksung Innovative Drug Center, Duksung Women's University, Seoul 01369, Republic of Korea
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11
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MALDI Mass Spectrometry Imaging Highlights Specific Metabolome and Lipidome Profiles in Salivary Gland Tumor Tissues. Metabolites 2022; 12:metabo12060530. [PMID: 35736462 PMCID: PMC9228942 DOI: 10.3390/metabo12060530] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 05/27/2022] [Accepted: 06/06/2022] [Indexed: 12/14/2022] Open
Abstract
Salivary gland tumors are relatively uncommon neoplasms that represent less than 5% of head and neck tumors, and about 90% are in the parotid gland. The wide variety of histologies and tumor characteristics makes diagnosis and treatment challenging. In the present study, Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was used to discriminate the pathological regions of patient-derived biopsies of parotid neoplasms by metabolomic and lipidomic profiles. Fresh frozen parotid tissues were analyzed by MALDI time-of-flight (TOF) MSI, both in positive and negative ionization modes, and additional MALDI-Fourier-transform ion cyclotron resonance (FT-ICR) MSI was carried out for metabolite annotation. MALDI-TOF-MSI spatial segmentation maps with different molecular signatures were compared with the histologic annotation. To maximize the information related to specific alterations between the pathological and healthy tissues, unsupervised (principal component analysis, PCA) and supervised (partial least squares-discriminant analysis, PLS-DA) multivariate analyses were performed presenting a 95.00% accuracy in cross-validation. Glycerophospholipids significantly increased in tumor tissues, while sphingomyelins and triacylglycerols, key players in the signaling pathway and energy production, were sensibly reduced. In addition, a significant increase of amino acids and nucleotide intermediates, consistent with the bioenergetics request of tumor cells, was observed. These results underline the potential of MALDI-MSI as a complementary diagnostic tool to improve the specificity of diagnosis and monitoring of pharmacological therapies.
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12
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Starodubtseva NL, Chagovets VV, Nekrasova ME, Nazarova NM, Tokareva AO, Bourmenskaya OV, Attoeva DI, Kukaev EN, Trofimov DY, Frankevich VE, Sukhikh GT. Shotgun Lipidomics for Differential Diagnosis of HPV-Associated Cervix Transformation. Metabolites 2022; 12:metabo12060503. [PMID: 35736434 PMCID: PMC9229224 DOI: 10.3390/metabo12060503] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/25/2022] [Accepted: 05/25/2022] [Indexed: 12/12/2022] Open
Abstract
A dramatic increase in cervical diseases associated with human papillomaviruses (HPV) in women of reproductive age has been observed over the past decades. An accurate differential diagnosis of the severity of cervical intraepithelial neoplasia and the choice of the optimal treatment requires the search for effective biomarkers with high diagnostic and prognostic value. The objective of this study was to introduce a method for rapid shotgun lipidomics to differentiate stages of HPV-associated cervix epithelium transformation. Tissue samples from 110 HPV-positive women with cervicitis (n = 30), low-grade squamous intraepithelial lesions (LSIL) (n = 30), high-grade squamous intraepithelial lesions (HSIL) (n = 30), and cervical cancers (n = 20) were obtained. The cervical epithelial tissue lipidome at different stages of cervix neoplastic transformation was studied by a shotgun label-free approach. It is based on electrospray ionization mass spectrometry (ESI-MS) data of a tissue extract. Lipidomic data were processed by the orthogonal projections to latent structures discriminant analysis (OPLS-DA) to build statistical models, differentiating stages of cervix transformation. Significant differences in the lipid profile between the lesion and surrounding tissues were revealed in chronic cervicitis, LSIL, HSIL, and cervical cancer. The lipids specific for HPV-induced cervical transformation mainly belong to glycerophospholipids: phosphatidylcholines, and phosphatidylethanolamines. The developed diagnostic OPLS-DA models were based on 23 marker lipids. More than 90% of these marker lipids positively correlated with the degree of cervix transformation. The algorithm was developed for the management of patients with HPV-associated diseases of the cervix, based on the panel of 23 lipids as a result. ESI-MS analysis of a lipid extract by direct injection through a loop, takes about 25 min (including preparation of the lipid extract), which is significantly less than the time required for the HPV test (several hours for hybrid capture and about an hour for PCR). This makes lipid mass spectrometric analysis a promising method for express diagnostics of HPV-associated neoplastic diseases of the cervix.
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Affiliation(s)
- Natalia L. Starodubtseva
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
| | - Vitaliy V. Chagovets
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
- Correspondence:
| | - Maria E. Nekrasova
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
| | - Niso M. Nazarova
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
| | - Alisa O. Tokareva
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
- V.L. Talrose Institute for Energy Problems of Chemical Physics, Russia Academy of Sciences, 119991 Moscow, Russia
| | - Olga V. Bourmenskaya
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
| | - Djamilja I. Attoeva
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
| | - Eugenii N. Kukaev
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
- Moscow Institute of Physics and Technology, 141700 Moscow, Russia
- V.L. Talrose Institute for Energy Problems of Chemical Physics, Russia Academy of Sciences, 119991 Moscow, Russia
| | - Dmitriy Y. Trofimov
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
| | - Vladimir E. Frankevich
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
| | - Gennady T. Sukhikh
- National Medical Research Center for Obstetrics Gynecology and Perinatology Named after Academician V.I., Kulakov of the Ministry of Healthcare of Russian Federation, 117997 Moscow, Russia; (N.L.S.); (M.E.N.); (N.M.N.); (A.O.T.); (O.V.B.); (D.I.A.); (E.N.K.); (D.Y.T.); (V.E.F.); (G.T.S.)
- Department of Obstetrics, Gynecology, Perinatology and Reproductology, First Moscow State Medical University Named after I.M. Sechenov, 119991 Moscow, Russia
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13
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Zhong AB, Muti IH, Eyles SJ, Vachet RW, Sikora KN, Bobst CE, Calligaris D, Stopka SA, Agar JN, Wu CL, Mino-Kenudson MA, Agar NYR, Christiani DC, Kaltashov IA, Cheng LL. Multiplatform Metabolomics Studies of Human Cancers With NMR and Mass Spectrometry Imaging. Front Mol Biosci 2022; 9:785232. [PMID: 35463966 PMCID: PMC9024335 DOI: 10.3389/fmolb.2022.785232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/02/2022] [Indexed: 11/22/2022] Open
Abstract
The status of metabolomics as a scientific branch has evolved from proof-of-concept to applications in science, particularly in medical research. To comprehensively evaluate disease metabolomics, multiplatform approaches of NMR combining with mass spectrometry (MS) have been investigated and reported. This mixed-methods approach allows for the exploitation of each individual technique's unique advantages to maximize results. In this article, we present our findings from combined NMR and MS imaging (MSI) analysis of human lung and prostate cancers. We further provide critical discussions of the current status of NMR and MS combined human prostate and lung cancer metabolomics studies to emphasize the enhanced metabolomics ability of the multiplatform approach.
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Affiliation(s)
- Anya B. Zhong
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Isabella H. Muti
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Stephen J. Eyles
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - Richard W. Vachet
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - Kristen N. Sikora
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - Cedric E. Bobst
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - David Calligaris
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Sylwia A. Stopka
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Jeffery N. Agar
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, United States
| | - Chin-Lee Wu
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | | | - Nathalie Y. R. Agar
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Dana-Farber Cancer Institute, Boston, MA, United States
| | - David C. Christiani
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Igor A. Kaltashov
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Leo L. Cheng
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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14
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Unravelling Prostate Cancer Heterogeneity Using Spatial Approaches to Lipidomics and Transcriptomics. Cancers (Basel) 2022; 14:cancers14071702. [PMID: 35406474 PMCID: PMC8997139 DOI: 10.3390/cancers14071702] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 03/11/2022] [Accepted: 03/21/2022] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Prostate cancer is a heterogenous disease in terms of disease aggressiveness and therapy response, leading to dilemmas in treatment decisions. This heterogeneity reflects the multifocal nature of prostate cancer and its diversity in cellular and molecular composition, necessitating spatial molecular approaches. Here in view of the emerging importance of rewired lipid metabolism as a source of biomarkers and therapeutic targets for prostate cancer, we highlight recent advancements in technologies that enable the spatial mapping of lipids and related metabolic pathways associated with prostate cancer development and progression. We also evaluate their potential for future implementation in treatment decision-making in the clinical management of prostate cancer. Abstract Due to advances in the detection and management of prostate cancer over the past 20 years, most cases of localised disease are now potentially curable by surgery or radiotherapy, or amenable to active surveillance without treatment. However, this has given rise to a new dilemma for disease management; the inability to distinguish indolent from lethal, aggressive forms of prostate cancer, leading to substantial overtreatment of some patients and delayed intervention for others. Driving this uncertainty is the critical deficit of novel targets for systemic therapy and of validated biomarkers that can inform treatment decision-making and to select and monitor therapy. In part, this lack of progress reflects the inherent challenge of undertaking target and biomarker discovery in clinical prostate tumours, which are cellularly heterogeneous and multifocal, necessitating the use of spatial analytical approaches. In this review, the principles of mass spectrometry-based lipid imaging and complementary gene-based spatial omics technologies, their application to prostate cancer and recent advancements in these technologies are considered. We put in perspective studies that describe spatially-resolved lipid maps and metabolic genes that are associated with prostate tumours compared to benign tissue and increased risk of disease progression, with the aim of evaluating the future implementation of spatial lipidomics and complementary transcriptomics for prognostication, target identification and treatment decision-making for prostate cancer.
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15
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Czétány P, Gitta S, Balló A, Sulc A, Máté G, Szántó Á, Márk L. Application of Mass Spectrometry Imaging in Uro-Oncology: Discovering Potential Biomarkers. Life (Basel) 2022; 12:life12030366. [PMID: 35330118 PMCID: PMC8954359 DOI: 10.3390/life12030366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/25/2022] [Accepted: 02/25/2022] [Indexed: 11/17/2022] Open
Abstract
A growing need is emerging worldwide for new molecular markers which could enhance the accuracy of diagnostic and therapeutic methods for detecting urogenital cancers. Mass spectrometry imaging (MSI) is a very promising tool in this regard. In this review, we attempt to provide a subjective summary of the latest publications on potential biomarkers of renal, bladder, prostate, and testicular malignancies detected with MSI through the eyes of a clinical urologist.
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Affiliation(s)
- Péter Czétány
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Urology Clinic, University of Pécs Clinical Centre, 7621 Pécs, Hungary
| | - Stefánia Gitta
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Department of Biochemistry and Medical Chemistry, University of Pécs Medical School, 7624 Pécs, Hungary
| | - András Balló
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Urology Clinic, University of Pécs Clinical Centre, 7621 Pécs, Hungary
- Pannon Reproduction Institute, 8300 Tapolca, Hungary
| | - Alexandra Sulc
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Department of Biochemistry and Medical Chemistry, University of Pécs Medical School, 7624 Pécs, Hungary
| | - Gábor Máté
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Pannon Reproduction Institute, 8300 Tapolca, Hungary
| | - Árpád Szántó
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Urology Clinic, University of Pécs Clinical Centre, 7621 Pécs, Hungary
| | - László Márk
- National Human Reproduction Laboratory, 7624 Pécs, Hungary; (P.C.); (S.G.); (A.B.); (A.S.); (G.M.); (Á.S.)
- Department of Biochemistry and Medical Chemistry, University of Pécs Medical School, 7624 Pécs, Hungary
- MTA-PTE Human Reproduction Research Group, 7624 Pécs, Hungary
- Correspondence: ; Tel.: +36-304-734-714
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16
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Metabolic Phenotyping in Prostate Cancer Using Multi-Omics Approaches. Cancers (Basel) 2022; 14:cancers14030596. [PMID: 35158864 PMCID: PMC8833769 DOI: 10.3390/cancers14030596] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/14/2022] [Accepted: 01/20/2022] [Indexed: 12/17/2022] Open
Abstract
Prostate cancer (PCa), one of the most frequently diagnosed cancers among men worldwide, is characterized by a diverse biological heterogeneity. It is well known that PCa cells rewire their cellular metabolism to meet the higher demands required for survival, proliferation, and invasion. In this context, a deeper understanding of metabolic reprogramming, an emerging hallmark of cancer, could provide novel opportunities for cancer diagnosis, prognosis, and treatment. In this setting, multi-omics data integration approaches, including genomics, epigenomics, transcriptomics, proteomics, lipidomics, and metabolomics, could offer unprecedented opportunities for uncovering the molecular changes underlying metabolic rewiring in complex diseases, such as PCa. Recent studies, focused on the integrated analysis of multi-omics data derived from PCa patients, have in fact revealed new insights into specific metabolic reprogramming events and vulnerabilities that have the potential to better guide therapy and improve outcomes for patients. This review aims to provide an up-to-date summary of multi-omics studies focused on the characterization of the metabolomic phenotype of PCa, as well as an in-depth analysis of the correlation between changes identified in the multi-omics studies and the metabolic profile of PCa tumors.
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17
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Kanetake H, Kato-Kogoe N, Terada T, Kurisu Y, Hamada W, Nakajima Y, Hirose Y, Ueno T, Kawata R. Short communication: Distribution of phospholipids in parotid cancer by matrix-assisted laser desorption/ionization imaging mass spectrometry. PLoS One 2021; 16:e0261491. [PMID: 34919590 PMCID: PMC8682900 DOI: 10.1371/journal.pone.0261491] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/02/2021] [Indexed: 11/19/2022] Open
Abstract
Background Parotid cancer is relatively rare, and malignancy varies; therefore, novel markers are needed to predict prognosis. Recent advances in matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS), useful for visualization of lipid molecules, have revealed the relationship between cancer and lipid metabolism, indicating the potential of lipids as biomarkers. However, the distribution and importance of phospholipids in parotid cancer remain unclear. Objective This study aimed to use MALDI-IMS to comprehensively investigate the spatial distribution of phospholipids characteristically expressed in human parotid cancer tissues. Methods Tissue samples were surgically collected from two patients with parotid cancer (acinic cell carcinoma and mucoepidermoid carcinoma). Frozen sections of the samples were assessed using MALDI-IMS in both positive and negative ion modes, with an m/z range of 600–1000. The mass spectra obtained in the tumor and non-tumor regions were compared and analyzed. Ion images corresponding to the peak characteristics of the tumor regions were visualized. Results Several candidate phospholipids with significantly different expression levels were detected between the tumor and non-tumor regions. The number of unique lipid peaks with significantly different intensities between the tumor and non-tumor regions was 95 and 85 for Cases 1 and 2, respectively, in positive ion mode, and 99 and 97 for Cases 1 and 2, respectively, in negative ion mode. Imaging differentiated the characteristics that phospholipids were heterogeneously distributed in the tumor regions. Conclusion Phospholipid candidates that are characteristically expressed in human parotid cancer tissues were found, demonstrating the localization of their expression. These findings are notable for further investigation of alterations in lipid metabolism of parotid cancer and may have potential for the development of phospholipids as biomarkers.
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Affiliation(s)
- Hirofumi Kanetake
- Department of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
- * E-mail:
| | - Nahoko Kato-Kogoe
- Department of Dentistry and Oral Surgery, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Tetsuya Terada
- Department of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Yoshitaka Kurisu
- Department of Pathology, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Wataru Hamada
- Department of Dentistry and Oral Surgery, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Yoichiro Nakajima
- Department of Dentistry and Oral Surgery, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Yoshinobu Hirose
- Department of Pathology, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Takaaki Ueno
- Department of Dentistry and Oral Surgery, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
| | - Ryo Kawata
- Department of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan
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18
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Lima AR, Carvalho M, Aveiro SS, Melo T, Domingues MR, Macedo-Silva C, Coimbra N, Jerónimo C, Henrique R, Bastos MDL, Guedes de Pinho P, Pinto J. Comprehensive Metabolomics and Lipidomics Profiling of Prostate Cancer Tissue Reveals Metabolic Dysregulations Associated with Disease Development. J Proteome Res 2021; 21:727-739. [PMID: 34813334 DOI: 10.1021/acs.jproteome.1c00754] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Prostate cancer (PCa) is a global health problem that affects millions of men every year. In the past decade, metabolomics and related subareas, such as lipidomics, have demonstrated an enormous potential to identify novel mechanisms underlying PCa development and progression, providing a good basis for the development of new and more effective therapies and diagnostics. In this study, a multiplatform metabolomics and lipidomics approach, combining untargeted mass spectrometry (MS) and nuclear magnetic resonance (NMR)-based techniques, was applied to PCa tissues to investigate dysregulations associated with PCa development, in a cohort of 40 patients submitted to radical prostatectomy for PCa. Results revealed significant alterations in the levels of 26 metabolites and 21 phospholipid species in PCa tissue compared with adjacent nonmalignant tissue, suggesting dysregulation in 13 metabolic pathways associated with PCa development. The most affected metabolic pathways were amino acid metabolism, nicotinate and nicotinamide metabolism, purine metabolism, and glycerophospholipid metabolism. A clear interconnection between metabolites and phospholipid species participating in these pathways was observed through correlation analysis. Overall, these dysregulations may reflect the reprogramming of metabolic responses to produce high levels of cellular building blocks required for rapid PCa cell proliferation.
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Affiliation(s)
- Ana Rita Lima
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Márcia Carvalho
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,FP-I3ID, FP-ENAS, CEBIMED, University Fernando Pessoa, 4249-004 Porto, Portugal.,Faculty of Health Sciences, Fernando Pessoa University, 4200-150 Porto, Portugal
| | - Susana S Aveiro
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,GreenCoLab - Green Ocean Association, University of Algarve, 8005-139 Faro, Portugal
| | - Tânia Melo
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,Centre for Environmental and Marine Studies, CESAM, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - M Rosário Domingues
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,Centre for Environmental and Marine Studies, CESAM, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Catarina Macedo-Silva
- Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
| | - Nuno Coimbra
- Department of Pathology and Molecular Immunology, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
| | - Carmen Jerónimo
- Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal.,Department of Pathology and Molecular Immunology, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal
| | - Rui Henrique
- Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal.,Department of Pathology and Molecular Immunology, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
| | - Maria de Lourdes Bastos
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Paula Guedes de Pinho
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Joana Pinto
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
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19
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Takanashi Y, Funai K, Eto F, Mizuno K, Kawase A, Tao H, Kitamoto T, Takahashi Y, Sugimura H, Setou M, Kahyo T, Shiiya N. Decreased sphingomyelin (t34:1) is a candidate predictor for lung squamous cell carcinoma recurrence after radical surgery: a case-control study. BMC Cancer 2021; 21:1232. [PMID: 34789180 PMCID: PMC8597230 DOI: 10.1186/s12885-021-08948-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 11/01/2021] [Indexed: 12/02/2022] Open
Abstract
Background To reduce disease recurrence after radical surgery for lung squamous cell carcinomas (SQCCs), accurate prediction of recurrent high-risk patients is required for efficient patient selection for adjuvant chemotherapy. Because treatment modalities for recurrent lung SQCCs are scarce compared to lung adenocarcinomas (ADCs), accurately selecting lung SQCC patients for adjuvant chemotherapy after radical surgery is highly important. Predicting lung cancer recurrence with high objectivity is difficult with conventional histopathological prognostic factors; therefore, identification of a novel predictor is expected to be highly beneficial. Lipid metabolism alterations in cancers are known to contribute to cancer progression. Previously, we found that increased sphingomyelin (SM)(d35:1) in lung ADCs is a candidate for an objective recurrence predictor. However, no lipid predictors for lung SQCC recurrence have been identified to date. This study aims to identify candidate lipid predictors for lung SQCC recurrence after radical surgery. Methods Recurrent (n = 5) and non-recurrent (n = 6) cases of lung SQCC patients who underwent radical surgery were assigned to recurrent and non-recurrent groups, respectively. Extracted lipids from frozen tissue samples of primary lung SQCC were analyzed by liquid chromatography-tandem mass spectrometry. Candidate lipid predictors were screened by comparing the relative expression levels between the recurrent and non-recurrent groups. To compare lipidomic characteristics associated with recurrent SQCCs and ADCs, a meta-analysis combining SQCC (n = 11) and ADC (n = 20) cohorts was conducted. Results Among 1745 screened lipid species, five species were decreased (≤ 0.5 fold change; P < 0.05) and one was increased (≥ 2 fold change; P < 0.05) in the recurrent group. Among the six candidates, the top three final candidates (selected by AUC assessment) were all decreased SM(t34:1) species, showing strong performance in recurrence prediction that is equivalent to that of histopathological prognostic factors. Meta-analysis indicated that decreases in a limited number of SM species were observed in the SQCC cohort as a lipidomic characteristic associated with recurrence, in contrast, significant increases in a broad range of lipids (including SM species) were observed in the ADC cohort. Conclusion We identified decreased SM(t34:1) as a novel candidate predictor for lung SQCC recurrence. Lung SQCCs and ADCs have opposite lipidomic characteristics concerning for recurrence risk. Trial registration This retrospective study was registered at the UMIN Clinical Trial Registry (UMIN000039202) on January 21, 2020. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08948-5.
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Affiliation(s)
- Yusuke Takanashi
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan.,First Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Kazuhito Funai
- First Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Fumihiro Eto
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Kiyomichi Mizuno
- First Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Akikazu Kawase
- First Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Hong Tao
- Department of Tumor Pathology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Takuya Kitamoto
- Advanced Research Facilities & Services, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Yutaka Takahashi
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan.,Preppers Co. Ltd., 1-23-17 Kitashinagawa, Shinagawa Ward, Tokyo, 140-0001, Japan
| | - Haruhiko Sugimura
- Department of Tumor Pathology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Mitsutoshi Setou
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan.,Preppers Co. Ltd., 1-23-17 Kitashinagawa, Shinagawa Ward, Tokyo, 140-0001, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan.,Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Tomoaki Kahyo
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan. .,International Mass Imaging Center, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan.
| | - Norihiko Shiiya
- First Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi Ward, Hamamatsu, Shizuoka, 431-3192, Japan
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20
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Butler LM, Mah CY, Machiels J, Vincent AD, Irani S, Mutuku SM, Spotbeen X, Bagadi M, Waltregny D, Moldovan M, Dehairs J, Vanderhoydonc F, Bloch K, Das R, Stahl J, Kench JG, Gevaert T, Derua R, Waelkens E, Nassar ZD, Selth LA, Trim PJ, Snel MF, Lynn DJ, Tilley WD, Horvath LG, Centenera MM, Swinnen JV. Lipidomic profiling of clinical prostate cancer reveals targetable alterations in membrane lipid composition. Cancer Res 2021; 81:4981-4993. [PMID: 34362796 DOI: 10.1158/0008-5472.can-20-3863] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 06/07/2021] [Accepted: 08/03/2021] [Indexed: 12/24/2022]
Abstract
Dysregulated lipid metabolism is a prominent feature of prostate cancer that is driven by androgen receptor (AR) signaling. Here we used quantitative mass spectrometry to define the "lipidome" in prostate tumors with matched benign tissues (n=21), independent unmatched tissues (n=47), and primary prostate explants cultured with the clinical AR antagonist enzalutamide (n=43). Significant differences in lipid composition were detected and spatially visualized in tumors compared to matched benign samples. Notably, tumors featured higher proportions of monounsaturated lipids overall and elongated fatty acid chains in phosphatidylinositol and phosphatidylserine lipids. Significant associations between lipid profile and malignancy were validated in unmatched samples, and phospholipid composition was characteristically altered in patient tissues that responded to AR inhibition. Importantly, targeting tumor-related lipid features via inhibition of acetyl-CoA carboxylase 1 significantly reduced cellular proliferation and induced apoptosis in tissue explants. This first characterization of the prostate cancer lipidome in clinical tissues reveals enhanced fatty acid synthesis, elongation, and desaturation as tumor-defining features, with potential for therapeutic targeting.
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Affiliation(s)
- Lisa M Butler
- South Australian Health and Medical Research Institute, University of Adelaide, School of Medicine and Freemasons Foundation Centre for Men's Health
| | - Chui Yan Mah
- South Australian Health and Medical Research Institute, University of Adelaide, Freemasons Foundation Centre for Men's Health and Adelaide Medical School
| | | | | | - Swati Irani
- South Australian Health and Medical Research Institute, University of Adelaide, School of Medicine and Freemasons Foundation Centre for Men's Health
| | - Shadrack M Mutuku
- South Australian Health and Medical Research Institute, University of Adelaide, School of Medicine and Freemasons Foundation Centre for Men's Health
| | | | | | | | - Max Moldovan
- Registry of Older Australians, South Australian Health and Medical Research Institute
| | - Jonas Dehairs
- Department of Oncology, KU Leuven - University of Leuven
| | | | - Katarzyna Bloch
- Department of Hematology and Oncology, Familial Cancer Program, Dartmouth–Hitchcock Medical Center
| | | | | | - James G Kench
- Tissue Pathology & Diagnostic Oncology, Royal Prince Alfred Hospital
| | | | - Rita Derua
- Laboratory of Protein Phosphorylation and Proteomics, Catholic University of Leuven
| | - Etienne Waelkens
- Laboratory of Protein Phosphorylation and Proteomics, Catholic University of Leuven
| | | | - Luke A Selth
- Flinders Health and Medical Research Institute, Flinders University
| | - Paul J Trim
- Proteomics, Metabolomics and MS Imaging Core Facility, South Australian Health & Medical Research Institute
| | - Marten F Snel
- Proteomics, Metabolomics and MS-Imaging Core Facility, South Australian Health & Medical Research Institute
| | - David J Lynn
- Precision Medicine, South Australian Health and Medical Research Institute
| | - Wayne D Tilley
- Dame Roma Mitchell Cancer Research Laboratories, University of Adelaide
| | - Lisa G Horvath
- Cancer Research Program, Garvan Institute of Medical Research
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21
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Pakiet A, Sikora K, Kobiela J, Rostkowska O, Mika A, Sledzinski T. Alterations in complex lipids in tumor tissue of patients with colorectal cancer. Lipids Health Dis 2021; 20:85. [PMID: 34348720 PMCID: PMC8340484 DOI: 10.1186/s12944-021-01512-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 07/26/2021] [Indexed: 12/29/2022] Open
Abstract
Background Accumulating evidence indicates alterations in lipid metabolism and lipid composition in neoplastic tissue. Earlier nuclear magnetic resonance studies showed that the contents of major lipid groups, such as triacylglycerols, phospholipids and cholesterol, are changed in colon cancer tissue. Methods In this study, a more detailed analysis of lipids in cancer and tumor adjacent tissues from colorectal cancer patients, using liquid chromatography–mass spectrometry, allowed for comparison of 199 different lipids between cancer tissue and tumor adjacent tissue using principal component analysis. Results Significant differences were found in 67 lipid compounds between the two types of tissue; many of these lipid compounds are bioactive lipids such as ceramides, lysophospholipids or sterols and can influence the development of cancer. Additionally, increased levels of phospholipids and sphingolipids were present, which are major components of the cell membrane, and increases in these lipids can lead to changes in cell membrane properties. Conclusions This study showed that many complex lipids are significantly increased or decreased in colon cancer tissue, reflecting significant alterations in lipid metabolism. This knowledge can be used for the selection of potential molecular targets of novel anticancer strategies based on the modulation of lipid metabolism and the composition of the cell membrane in colorectal cancer cells. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-021-01512-x.
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Affiliation(s)
- Alicja Pakiet
- Department of Environmental Analysis, Faculty of Chemistry, University of Gdansk, Wita Stwosza 63, 80-308, Gdansk, Poland
| | - Kinga Sikora
- Physics-Chemistry Workshops, Faculty of Chemistry, University of Gdansk, Wita Stwosza 63, 80-308, Gdansk, Poland
| | - Jarek Kobiela
- Department of General, Endocrine and Transplant Surgery, Medical University of Gdansk, Smoluchowskiego 17, 80-214, Gdansk, Poland
| | - Olga Rostkowska
- Department of General, Endocrine and Transplant Surgery, Medical University of Gdansk, Smoluchowskiego 17, 80-214, Gdansk, Poland
| | - Adriana Mika
- Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Debinki 1, 80-211, Gdansk, Poland
| | - Tomasz Sledzinski
- Department of Pharmaceutical Biochemistry, Medical University of Gdansk, Debinki 1, 80-211, Gdansk, Poland.
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22
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Li X, Nakayama K, Goto T, Kimura H, Akamatsu S, Hayashi Y, Fujita K, Kobayashi T, Shimizu K, Nonomura N, Ogawa O, Inoue T. High level of phosphatidylcholines/lysophosphatidylcholine ratio in urine is associated with prostate cancer. Cancer Sci 2021; 112:4292-4302. [PMID: 34328656 PMCID: PMC8486217 DOI: 10.1111/cas.15093] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 07/18/2021] [Accepted: 07/26/2021] [Indexed: 11/26/2022] Open
Abstract
The altered levels of phospholipids (PLs) and lysophospholipids (LPLs) in prostate cancer (CaP) and benign tissues in our previous findings prompted us to explore PLs and LPLs as potential biomarkers for CaP. Urinary lipidomics has attracted increasing attention in clinical diagnostics and prognostics for CaP. In this study, 31 prostate tissues obtained from radical prostatectomy were assessed using high‐resolution matrix‐assisted laser desorption/ionization imaging mass spectrometry (HR‐MALDI‐IMS). Urine samples were collected after digital rectal examination (DRE), and urinary lipids were extracted using the acidified Bligh‐Dyer method. The discovery set comprised 75 patients with CaP and 44 with benign prostatic hyperplasia (BPH) at Kyoto University Hospital; the validation set comprised 74 patients with CaP and 59 with BPH at Osaka University Hospital. Urinary lipidomic screening was performed using MALDI time‐of‐flight MS (MALDI‐TOF/MS). The levels of urinary lysophosphatidylcholine (LPC) and phosphatidylcholines (PCs) were compared between the CaP and BPH groups. The (PC [34:2] + PC [34:1])/LPC (16:0) ratio was significantly higher (P < .001) in CaP tissues than in benign epithelial tissues. The urinary PCs/LPC ratio was significantly higher (P < .001) in the CaP group than in the BPH group in the discovery and validation sets.
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Affiliation(s)
- Xin Li
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kenji Nakayama
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takayuki Goto
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiroko Kimura
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shusuke Akamatsu
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yujiro Hayashi
- Department of Urology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kazutoshi Fujita
- Department of Urology, Osaka University Graduate School of Medicine, Suita, Japan.,Department of Urology, Kindai University Faculty of Medicine, Higashi-Osaka, Japan
| | - Takashi Kobayashi
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Koji Shimizu
- Clinical Research Center for Medical Equipment Development, Kyoto University Hospital, Kyoto, Japan
| | - Norio Nonomura
- Department of Urology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Osamu Ogawa
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takahiro Inoue
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan
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23
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Nabi MM, Mamun MA, Islam A, Hasan MM, Waliullah ASM, Tamannaa Z, Sato T, Kahyo T, Setou M. Mass spectrometry in the lipid study of cancer. Expert Rev Proteomics 2021; 18:201-219. [PMID: 33793353 DOI: 10.1080/14789450.2021.1912602] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Introduction: Cancer is a heterogeneous disease that exploits various metabolic pathways to meet the demand for increased energy and structural components. Lipids are biomolecules that play essential roles as high energy sources, mediators, and structural components of biological membranes. Accumulating evidence has established that altered lipid metabolism is a hallmark of cancer.Areas covered: Mass spectrometry (MS) is a label-free analytical tool that can simultaneously identify and quantify hundreds of analytes. To date, comprehensive lipid studies exclusively rely on this technique. Here, we reviewed the use of MS in the study of lipids in various cancers and discuss its instrumental limitations and challenges.Expert opinion: MS and MS imaging have significantly contributed to revealing altered lipid metabolism in a variety of cancers. Currently, a single MS approach cannot profile the entire lipidome because of its lack of sensitivity and specificity for all lipid classes. For the metabolic pathway investigation, lipid study requires the integration of MS with other molecular approaches. Future developments regarding the high spatial resolution, mass resolution, and sensitivity of MS instruments are warranted.
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Affiliation(s)
- Md Mahamodun Nabi
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.,Institute of Food and Radiation Biology, Atomic Energy Research Establishment, Ganakbari, Savar, Dhaka, Bangladesh
| | - Md Al Mamun
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Ariful Islam
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Md Mahmudul Hasan
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - A S M Waliullah
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Zinat Tamannaa
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Tomohito Sato
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Tomoaki Kahyo
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Mitsutoshi Setou
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.,Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center, Hamamatsu, Shizuoka, Japan
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24
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Lima AR, Pinto J, Amaro F, Bastos MDL, Carvalho M, Guedes de Pinho P. Advances and Perspectives in Prostate Cancer Biomarker Discovery in the Last 5 Years through Tissue and Urine Metabolomics. Metabolites 2021; 11:181. [PMID: 33808897 PMCID: PMC8003702 DOI: 10.3390/metabo11030181] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/10/2021] [Accepted: 03/17/2021] [Indexed: 02/07/2023] Open
Abstract
Prostate cancer (PCa) is the second most diagnosed cancer in men worldwide. For its screening, serum prostate specific antigen (PSA) test has been largely performed over the past decade, despite its lack of accuracy and inability to distinguish indolent from aggressive disease. Metabolomics has been widely applied in cancer biomarker discovery due to the well-known metabolic reprogramming characteristic of cancer cells. Most of the metabolomic studies have reported alterations in urine of PCa patients due its noninvasive collection, but the analysis of prostate tissue metabolome is an ideal approach to disclose specific modifications in PCa development. This review aims to summarize and discuss the most recent findings from tissue and urine metabolomic studies applied to PCa biomarker discovery. Eighteen metabolites were found consistently altered in PCa tissue among different studies, including alanine, arginine, uracil, glutamate, fumarate, and citrate. Urine metabolomic studies also showed consistency in the dysregulation of 15 metabolites and, interestingly, alterations in the levels of valine, taurine, leucine and citrate were found in common between urine and tissue studies. These findings unveil that the impact of PCa development in human metabolome may offer a promising strategy to find novel biomarkers for PCa diagnosis.
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Affiliation(s)
- Ana Rita Lima
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Joana Pinto
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Filipa Amaro
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Maria de Lourdes Bastos
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Márcia Carvalho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
- UFP Energy, Environment and Health Research Unit (FP-ENAS), University Fernando Pessoa, Praça Nove de Abril, 349, 4249-004 Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, Rua Carlos da Maia, 296, 4200-150 Porto, Portugal
| | - Paula Guedes de Pinho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
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25
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Garate J, Maimó-Barceló A, Bestard-Escalas J, Fernández R, Pérez-Romero K, Martínez MA, Payeras MA, Lopez DH, Fernández JA, Barceló-Coblijn G. A Drastic Shift in Lipid Adducts in Colon Cancer Detected by MALDI-IMS Exposes Alterations in Specific K + Channels. Cancers (Basel) 2021; 13:cancers13061350. [PMID: 33802791 PMCID: PMC8061771 DOI: 10.3390/cancers13061350] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/04/2021] [Accepted: 03/10/2021] [Indexed: 01/12/2023] Open
Abstract
Even though colorectal cancer (CRC) is one of the most preventable cancers, it is one of the deadliest, and recent data show that the incidence in people <50 years has unexpectedly increased. While new techniques for CRC molecular classification are emerging, no molecular feature is as yet firmly associated with prognosis. Imaging mass spectrometry (IMS) lipidomic analyses have demonstrated the specificity of the lipid fingerprint in differentiating pathological from healthy tissues. During IMS lipidomic analysis, the formation of ionic adducts is common. Of particular interest is the [Na+]/[K+] adduct ratio, which already functions as a biomarker for homeostatic alterations. Herein, we show a drastic shift of the [Na+]/[K+] adduct ratio in adenomatous colon mucosa compared to healthy mucosa, suggesting a robust increase in K+ levels. Interrogating public databases, a strong association was found between poor diagnosis and voltage-gated potassium channel subunit beta-2 (KCNAB2) overexpression. We found this overexpression in three CRC molecular subtypes defined by the CRC Subtyping Consortium, making KCNAB2 an interesting pharmacological target. Consistently, its pharmacological inhibition resulted in a dramatic halt in commercial CRC cell proliferation. Identification of potential pharmacologic targets using lipid adduct information emphasizes the great potential of IMS lipidomic techniques in the clinical field.
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Affiliation(s)
- Jone Garate
- Department of Physical Chemistry, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain; (J.G.); (R.F.); (J.A.F.)
| | - Albert Maimó-Barceló
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Joan Bestard-Escalas
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Roberto Fernández
- Department of Physical Chemistry, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain; (J.G.); (R.F.); (J.A.F.)
- Research Department, IMG Pharma Biotech S.L., BIC Bizkaia (612), 48160 Derio, Spain
| | - Karim Pérez-Romero
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Marco A. Martínez
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Pathology Anatomy Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Mª Antònia Payeras
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Gastroenterology Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Daniel H. Lopez
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - José Andrés Fernández
- Department of Physical Chemistry, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain; (J.G.); (R.F.); (J.A.F.)
| | - Gwendolyn Barceló-Coblijn
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
- Correspondence: ; Tel.: +34-871-205-000 (ext. 66300)
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26
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Yi X, Li Y, Hu X, Wang F, Liu T. Changes in phospholipid metabolism in exosomes of hormone-sensitive and hormone-resistant prostate cancer cells. J Cancer 2021; 12:2893-2902. [PMID: 33854590 PMCID: PMC8040901 DOI: 10.7150/jca.48906] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 03/04/2021] [Indexed: 01/05/2023] Open
Abstract
Background: To explore the changes in lipids in exosomes of hormone-sensitive and hormone-resistant prostate cancer cells and develop an inexpensive and rapid technique for screening lipid-based biomarkers of prostate cancer. Methods: Exosomes were extracted from LnCap, PC3 and DU-145 cells, and their lipid composition was analyzed quantitatively using high-throughput mass spectrometry. Exosomes released by LnCap prostate cancer cells were also purified using a modified procedure based on polyethylene glycol (PEG) precipitation. Results: Exosomes extracted from LnCap cells contained higher proportions of phosphatidyl choline, phosphatidyl ethanolamine and phosphatidyl inositol lipids than whole LnCap cells. Lysophosphatidylcholine, a harmful intermediate product of phosphatidylcholine metabolism in vivo, was not found in LnCap cells but in exosomes. Phospholipids were different in exosomes from LnCap, PC3 and DU-145 prostate cancer cells. The main lipid pathways involved, i.e., glycerophospholipid metabolism, autophagy, and ferroptosis pathways, were also different in these cells. Exosomes isolated by this modified PEG precipitation technique were similar in purity to those obtained using a commercial kit. Conclusions: This study demonstrates that phosphatidylcholine and its harmful product lysophosphatidylcholine may play important roles in hormone-sensitive prostate cancer. Phospholipid exosome metabolism was changed in hormone-sensitive and hormone-resistant prostate cancer cells. The LPC, lipid pathway of autophagy and ferroptosis may act as therapeutic targets. The possibility of purifying prostate cancer cell exosomes using modified PEG precipitation is suitable for cancer screening.
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Affiliation(s)
- Xianlin Yi
- Department of Urology, The Affiliated Cancer Hospital of Guangxi Medical University & Guangxi Cancer Research Institute, Nanning 530021,China
| | - You Li
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, PR China.,Life science institute of East China Normal University, Shanghai 200241, P.R. China
| | - XiaoGang Hu
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, P.R. China
| | - FuBing Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, P.R. China
| | - Tiangang Liu
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education and School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, PR China.,Wuhan infectious diseases and cancer research center, Chinese Academy of Medical Sciences, Wuhan 430071, P.R. China.,Hubei Engineering Laboratory for Synthetic Microbiology, Wuhan Institute of Biotechnology, Wuhan 430075, PR China
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27
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Removal of optimal cutting temperature (O.C.T.) compound from embedded tissue for MALDI imaging of lipids. Anal Bioanal Chem 2021; 413:2695-2708. [PMID: 33564925 DOI: 10.1007/s00216-020-03128-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 11/27/2020] [Accepted: 12/15/2020] [Indexed: 12/14/2022]
Abstract
Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is a common molecular imaging modality used to characterise the abundance and spatial distribution of lipids in situ. There are several technical challenges predominantly involving sample pre-treatment and preparation which have complicated the analysis of clinical tissues by MALDI-MSI. Firstly, the common embedding of samples in optimal cutting temperature (O.C.T.), which contains high concentrations of polyethylene glycol (PEG) polymers, causes analyte signal suppression during mass spectrometry (MS) by competing for available ions during ionisation. This suppressive effect has constrained the application of MALDI-MSI for the molecular mapping of clinical tissues. Secondly, the complexity of the mass spectra is obtained by the formation of multiple adduct ions. The process of analyte ion formation during MALDI can generate multiple m/z peaks from a single lipid species due to the presence of alkali salts in tissues, resulting in the suppression of protonated adduct formation and the generation of multiple near isobaric ions which produce overlapping spatial distributions. Presented is a method to simultaneously remove O.C.T. and endogenous salts. This approach was applied to lipid imaging in order to prevent analyte suppression, simplify data interpretation, and improve sensitivity by promoting lipid protonation and reducing the formation of alkali adducts.
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28
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Mamun A, Islam A, Eto F, Sato T, Kahyo T, Setou M. Mass spectrometry-based phospholipid imaging: methods and findings. Expert Rev Proteomics 2021; 17:843-854. [PMID: 33504247 DOI: 10.1080/14789450.2020.1880897] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Introduction: Imaging is a technique used for direct visualization of the internal structure or distribution of biomolecules of a living system in a two-dimensional or three-dimensional fashion. Phospholipids are important structural components of biological membranes and have been reported to be associated with various human diseases. Therefore, the visualization of phospholipids is crucial to understand the underlying mechanism of cellular and molecular processes in normal and diseased conditions. Areas covered: Mass spectrometry imaging (MSI) has enabled the label-free imaging of individual phospholipids in biological tissues and cells. The commonly used MSI techniques include matrix-assisted laser desorption ionization-MSI (MALDI-MSI), desorption electrospray ionization-MSI (DESI-MSI), and secondary ion mass spectrometry (SIMS) imaging. This special report described those methods, summarized the findings, and discussed the future development for the imaging of phospholipids. Expert opinion: Phospholipids imaging in complex biological samples has been significantly benefited from the development of MSI methods. In MALDI-MSI, novel matrix that produces homogenous crystals exclusively with polar lipids is important for phospholipids imaging with greater efficiency and higher spatial resolution. DESI-MSI has the potential of live imaging of the biological surface while SIMS is expected to image at the subcellular level in the near future.
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Affiliation(s)
- Al Mamun
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine , Hamamatsu, Shizuoka, Japan
| | - Ariful Islam
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine , Hamamatsu, Shizuoka, Japan
| | - Fumihiro Eto
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine , Hamamatsu, Shizuoka, Japan
| | - Tomohito Sato
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine , Hamamatsu, Shizuoka, Japan
| | - Tomoaki Kahyo
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine , Hamamatsu, Shizuoka, Japan
| | - Mitsutoshi Setou
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine , Hamamatsu, Shizuoka, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine , Hamamatsu, Shizuoka, Japan.,Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center , Hamamatsu, Shizuoka, Japan
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29
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Andersen MK, Høiem TS, Claes BSR, Balluff B, Martin-Lorenzo M, Richardsen E, Krossa S, Bertilsson H, Heeren RMA, Rye MB, Giskeødegård GF, Bathen TF, Tessem MB. Spatial differentiation of metabolism in prostate cancer tissue by MALDI-TOF MSI. Cancer Metab 2021; 9:9. [PMID: 33514438 PMCID: PMC7847144 DOI: 10.1186/s40170-021-00242-z] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 12/09/2020] [Indexed: 02/07/2023] Open
Abstract
Background Prostate cancer tissues are inherently heterogeneous, which presents a challenge for metabolic profiling using traditional bulk analysis methods that produce an averaged profile. The aim of this study was therefore to spatially detect metabolites and lipids on prostate tissue sections by using mass spectrometry imaging (MSI), a method that facilitates molecular imaging of heterogeneous tissue sections, which can subsequently be related to the histology of the same section. Methods Here, we simultaneously obtained metabolic and lipidomic profiles in different prostate tissue types using matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MSI. Both positive and negative ion mode were applied to analyze consecutive sections from 45 fresh-frozen human prostate tissue samples (N = 15 patients). Mass identification was performed with tandem MS. Results Pairwise comparisons of cancer, non-cancer epithelium, and stroma revealed several metabolic differences between the tissue types. We detected increased levels of metabolites crucial for lipid metabolism in cancer, including metabolites involved in the carnitine shuttle, which facilitates fatty acid oxidation, and building blocks needed for lipid synthesis. Metabolites associated with healthy prostate functions, including citrate, aspartate, zinc, and spermine had lower levels in cancer compared to non-cancer epithelium. Profiling of stroma revealed higher levels of important energy metabolites, such as ADP, ATP, and glucose, and higher levels of the antioxidant taurine compared to cancer and non-cancer epithelium. Conclusions This study shows that specific tissue compartments within prostate cancer samples have distinct metabolic profiles and pinpoint the advantage of methodology providing spatial information compared to bulk analysis. We identified several differential metabolites and lipids that have potential to be developed further as diagnostic and prognostic biomarkers for prostate cancer. Spatial and rapid detection of cancer-related analytes showcases MALDI-TOF MSI as a promising and innovative diagnostic tool for the clinic. Supplementary Information The online version contains supplementary material available at 10.1186/s40170-021-00242-z.
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Affiliation(s)
- Maria K Andersen
- Department of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
| | - Therese S Høiem
- Department of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Britt S R Claes
- Maastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, The Netherlands
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, The Netherlands
| | - Marta Martin-Lorenzo
- Maastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, The Netherlands
| | - Elin Richardsen
- Department of Medical Biology, UiT The Artic University of Norway, Tromsø, Norway.,Department of Clinical Pathology, University Hospital of North Norway, UNN, Tromsø, Norway
| | - Sebastian Krossa
- Department of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Helena Bertilsson
- Department of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.,Department of Urology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, The Netherlands
| | - Morten B Rye
- Department of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.,Clinic of Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.,Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.,BioCore-Bioinformatics Core Facility, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Guro F Giskeødegård
- Department of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - May-Britt Tessem
- Department of Circulation and Medical Imaging, NTNU-Norwegian University of Science and Technology, Trondheim, Norway. .,Clinic of Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
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30
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Deciphering Fatty Acid Synthase Inhibition-Triggered Metabolic Flexibility in Prostate Cancer Cells through Untargeted Metabolomics. Cells 2020; 9:cells9112447. [PMID: 33182594 PMCID: PMC7697567 DOI: 10.3390/cells9112447] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/05/2020] [Accepted: 11/06/2020] [Indexed: 01/31/2023] Open
Abstract
Fatty acid synthase (FAS) is a key enzyme involved in de novo lipogenesis that produces lipids that are necessary for cell growth and signal transduction, and it is known to be overexpressed, especially in cancer cells. Although lipid metabolism alteration is an important metabolic phenotype in cancer cells, the development of drugs targeting FAS to block lipid synthesis is hampered by the characteristics of cancer cells with metabolic flexibility leading to rapid adaptation and resistance. Therefore, to confirm the metabolic alterations at the cellular level during FAS inhibition, we treated LNCaP-LN3 prostate cancer cells with FAS inhibitors (Fasnall, GSK2194069, and TVB-3166). With untargeted metabolomics, we observed significant changes in a total of 56 metabolites in the drug-treated groups. Among the altered metabolites, 28 metabolites were significantly changed in all of the drug-treated groups. To our surprise, despite the inhibition of FAS, which is involved in palmitate production, the cells increase their fatty acids and glycerophospholipids contents endogenously. Also, some of the notable changes in the metabolic pathways include polyamine metabolism and energy metabolism. This is the first study to compare and elucidate the effect of FAS inhibition on cellular metabolic flexibility using three different FAS inhibitors through metabolomics. We believe that our results may provide key data for the development of future FAS-targeting drugs.
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31
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Butler LM, Perone Y, Dehairs J, Lupien LE, de Laat V, Talebi A, Loda M, Kinlaw WB, Swinnen JV. Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention. Adv Drug Deliv Rev 2020; 159:245-293. [PMID: 32711004 PMCID: PMC7736102 DOI: 10.1016/j.addr.2020.07.013] [Citation(s) in RCA: 285] [Impact Index Per Article: 71.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 07/02/2020] [Accepted: 07/16/2020] [Indexed: 02/06/2023]
Abstract
With the advent of effective tools to study lipids, including mass spectrometry-based lipidomics, lipids are emerging as central players in cancer biology. Lipids function as essential building blocks for membranes, serve as fuel to drive energy-demanding processes and play a key role as signaling molecules and as regulators of numerous cellular functions. Not unexpectedly, cancer cells, as well as other cell types in the tumor microenvironment, exploit various ways to acquire lipids and extensively rewire their metabolism as part of a plastic and context-dependent metabolic reprogramming that is driven by both oncogenic and environmental cues. The resulting changes in the fate and composition of lipids help cancer cells to thrive in a changing microenvironment by supporting key oncogenic functions and cancer hallmarks, including cellular energetics, promoting feedforward oncogenic signaling, resisting oxidative and other stresses, regulating intercellular communication and immune responses. Supported by the close connection between altered lipid metabolism and the pathogenic process, specific lipid profiles are emerging as unique disease biomarkers, with diagnostic, prognostic and predictive potential. Multiple preclinical studies illustrate the translational promise of exploiting lipid metabolism in cancer, and critically, have shown context dependent actionable vulnerabilities that can be rationally targeted, particularly in combinatorial approaches. Moreover, lipids themselves can be used as membrane disrupting agents or as key components of nanocarriers of various therapeutics. With a number of preclinical compounds and strategies that are approaching clinical trials, we are at the doorstep of exploiting a hitherto underappreciated hallmark of cancer and promising target in the oncologist's strategy to combat cancer.
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Affiliation(s)
- Lisa M Butler
- Adelaide Medical School and Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, SA 5005, Australia; South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
| | - Ylenia Perone
- Department of Surgery and Cancer, Imperial College London, Imperial Centre for Translational and Experimental Medicine, London, UK
| | - Jonas Dehairs
- Laboratory of Lipid Metabolism and Cancer, KU Leuven Cancer Institute, 3000 Leuven, Belgium
| | - Leslie E Lupien
- Program in Experimental and Molecular Medicine, Geisel School of Medicine at Dartmouth, 1 Medical Center Drive, Lebanon, NH 037560, USA
| | - Vincent de Laat
- Laboratory of Lipid Metabolism and Cancer, KU Leuven Cancer Institute, 3000 Leuven, Belgium
| | - Ali Talebi
- Laboratory of Lipid Metabolism and Cancer, KU Leuven Cancer Institute, 3000 Leuven, Belgium
| | - Massimo Loda
- Pathology and Laboratory Medicine, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
| | - William B Kinlaw
- The Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, 1 Medical Center Drive, Lebanon, NH 03756, USA
| | - Johannes V Swinnen
- Laboratory of Lipid Metabolism and Cancer, KU Leuven Cancer Institute, 3000 Leuven, Belgium.
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32
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Schmidt J, Kajtár B, Juhász K, Péter M, Járai T, Burián A, Kereskai L, Gerlinger I, Tornóczki T, Balogh G, Vígh L, Márk L, Balogi Z. Lipid and protein tumor markers for head and neck squamous cell carcinoma identified by imaging mass spectrometry. Oncotarget 2020; 11:2702-2717. [PMID: 32733643 PMCID: PMC7367650 DOI: 10.18632/oncotarget.27649] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 06/01/2020] [Indexed: 12/17/2022] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide. To improve pre- and post-operative diagnosis and prognosis novel molecular markers are desirable. Here we used MALDI imaging mass spectrometry (IMS) and immunohistochemistry (IHC) to seek tumor specific expression of proteins and lipids in HNSCC samples. Among low molecular weight proteins visualized, S100A8 and S100A9 were found to be expressed in the regions of tumor tissue but not in the surrounding healthy stroma of a post-operative microdissected tissue. Marker potential of S100A8 and S100A9 was confirmed by immunohistochemistry of paraffin-embedded pathological samples. Imaging lipids showed a remarkable depletion of lysophosphatidylcholine species LPC[16:0], LPC[18:2] and, in parallel, accumulation of major glycerophospholipid species PE-P[36:4], PC[32:1], PC[34:1] in neoplastic areas. This was confirmed by shotgun lipidomics of dissected healthy and tumor tissue sections. A combination of the negative (LPC[16:0]) and positive (PC[32:1], PC[34:1]) markers was also applicable to uncover tumorous character of a pre-operative biopsy. Furthermore, marker potential of lysophospholipids was supported by elevated expression levels of the lysophospholipid degrading enzyme lysophospholipase A1 (LYPLA1) in the tumor regions of paraffin-embedded HNSCC samples. Finally, experimental evidence of 3D cell spheroid tests showed that LPC[16:0] facilitates HNSCC invasion, implying that HNSCC progression in vivo may be dependent on lysophospholipid supply. Altogether, a series of novel proteins and lipid species were identified by IMS and IHC screening, which may serve as potential molecular markers for tumor diagnosis, prognosis, and may pave the way to better understand HNSCC pathophyisiology.
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Affiliation(s)
- Janos Schmidt
- Institute of Biochemistry and Medical Chemistry, Medical School, University of Pécs, Pécs, Hungary
| | - Béla Kajtár
- Department of Pathology, Medical School, University of Pécs, Pécs, Hungary
| | - Kata Juhász
- Institute of Biochemistry and Medical Chemistry, Medical School, University of Pécs, Pécs, Hungary
| | - Mária Péter
- Institute of Biochemistry, Biological Research Center, Szeged, Hungary
| | - Tamás Járai
- Department of Oto-Rhino-Laryngology, Medical School, University of Pécs, Pécs, Hungary
| | - András Burián
- Department of Oto-Rhino-Laryngology, Medical School, University of Pécs, Pécs, Hungary
| | - László Kereskai
- Department of Pathology, Medical School, University of Pécs, Pécs, Hungary
| | - Imre Gerlinger
- Department of Oto-Rhino-Laryngology, Medical School, University of Pécs, Pécs, Hungary
| | - Tamás Tornóczki
- Department of Pathology, Medical School, University of Pécs, Pécs, Hungary
| | - Gábor Balogh
- Institute of Biochemistry, Biological Research Center, Szeged, Hungary
| | - László Vígh
- Institute of Biochemistry, Biological Research Center, Szeged, Hungary
| | - Lászó Márk
- Institute of Biochemistry and Medical Chemistry, Medical School, University of Pécs, Pécs, Hungary.,MTA-PTE Human Reproduction Group, Medical School, University of Pécs, Pécs, Hungary.,Imaging Center for Life and Material Sciences, Medical School, University of Pécs, Pécs, Hungary
| | - Zsolt Balogi
- Institute of Biochemistry and Medical Chemistry, Medical School, University of Pécs, Pécs, Hungary
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33
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Knuplez E, Marsche G. An Updated Review of Pro- and Anti-Inflammatory Properties of Plasma Lysophosphatidylcholines in the Vascular System. Int J Mol Sci 2020; 21:E4501. [PMID: 32599910 PMCID: PMC7350010 DOI: 10.3390/ijms21124501] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/19/2020] [Accepted: 06/23/2020] [Indexed: 12/14/2022] Open
Abstract
Lysophosphatidylcholines are a group of bioactive lipids heavily investigated in the context of inflammation and atherosclerosis development. While present in plasma during physiological conditions, their concentration can drastically increase in certain inflammatory states. Lysophosphatidylcholines are widely regarded as potent pro-inflammatory and deleterious mediators, but an increasing number of more recent studies show multiple beneficial properties under various pathological conditions. Many of the discrepancies in the published studies are due to the investigation of different species or mixtures of lysophatidylcholines and the use of supra-physiological concentrations in the absence of serum or other carrier proteins. Furthermore, interpretation of the results is complicated by the rapid metabolism of lysophosphatidylcholine (LPC) in cells and tissues to pro-inflammatory lysophosphatidic acid. Interestingly, most of the recent studies, in contrast to older studies, found lower LPC plasma levels associated with unfavorable disease outcomes. Being the most abundant lysophospholipid in plasma, it is of utmost importance to understand its physiological functions and shed light on the discordant literature connected to its research. LPCs should be recognized as important homeostatic mediators involved in all stages of vascular inflammation. In this review, we want to point out potential pro- and anti-inflammatory activities of lysophospholipids in the vascular system and highlight recent discoveries about the effect of lysophosphatidylcholines on immune cells at the endothelial vascular interface. We will also look at their potential clinical application as biomarkers.
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Affiliation(s)
- Eva Knuplez
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, 8010 Graz, Austria
| | - Gunther Marsche
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, 8010 Graz, Austria
- BioTechMed-Graz, 8010 Graz, Austria
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34
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Oxidized lipids in the metabolic profiling of neuroendocrine tumors - Analytical challenges and biological implications. J Chromatogr A 2020; 1625:461233. [PMID: 32709312 DOI: 10.1016/j.chroma.2020.461233] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/08/2020] [Accepted: 05/10/2020] [Indexed: 02/08/2023]
Abstract
Untargeted metabolomics can be a great tool for exploring new scientific areas; however, wrong metabolite annotation questions the credibility and puts the success of the entire research at risk. Therefore, an effort should be made to improve the quality and robustness of the annotation despite of the challenges, especially when final identification with standards is not possible. Through non-targeted analysis of human plasma samples, from a large cancer cohort study using RP-LC-ESI-QTOF-MS/MS, we have resolved MS/MS annotation through spectral matching, directed to hydroxyeicosatetraenoic acids (HETEs) and, MS/MS structural elucidation for newly annotated oxidized lyso-phosphatidylcholines (oxLPCs). The annotation of unknowns is supported with structural information from fragmentation spectra as well as the fragmentation mechanisms involved, necessarily including data from both polarity modes and different collision energies. In this work, we present evidences that various oxidation products show significant differences between cancer patients and control individuals and we establish a workflow to help identify such modifications. We report here the upregulation of HETEs and oxLPCs in patients with neuroendocrine tumors (NETs). To our knowledge, this is the first attempt to determine HETEs in NETs and one of very few studies where oxLPCs are annotated. The obtained results provide an important insight regarding lipid oxidation in NETs, although their physiological functions still have to be established and require further research.
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35
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Liu P, Zhu W, Chen C, Yan B, Zhu L, Chen X, Peng C. The mechanisms of lysophosphatidylcholine in the development of diseases. Life Sci 2020; 247:117443. [DOI: 10.1016/j.lfs.2020.117443] [Citation(s) in RCA: 94] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 02/11/2020] [Accepted: 02/17/2020] [Indexed: 02/07/2023]
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36
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Phospholipid profiling enables to discriminate tumor- and non-tumor-derived human colon epithelial cells: Phospholipidome similarities and differences in colon cancer cell lines and in patient-derived cell samples. PLoS One 2020; 15:e0228010. [PMID: 31999740 PMCID: PMC6992008 DOI: 10.1371/journal.pone.0228010] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 01/05/2020] [Indexed: 01/10/2023] Open
Abstract
Identification of changes of phospholipid (PL) composition occurring during colorectal cancer (CRC) development may help us to better understand their roles in CRC cells. Here, we used LC-MS/MS-based PL profiling of cell lines derived from normal colon mucosa, or isolated at distinct stages of CRC development, in order to study alterations of PL species potentially linked with cell transformation. We found that a detailed evaluation of phosphatidylinositol (PI) and phosphatidylserine (PS) classes allowed us to cluster the studied epithelial cell lines according to their origin: i) cells originally derived from normal colon tissue (NCM460, FHC); ii) cell lines derived from colon adenoma or less advanced differentiating adenocarcinoma cells (AA/C1, HT-29); or, iii) cells obtained by in vitro transformation of adenoma cells and advanced colon adenocarcinoma cells (HCT-116, AA/C1/SB10, SW480, SW620). Although we tentatively identified several PS and PI species contributing to cell line clustering, full PI and PS profiles appeared to be a key to the successful cell line discrimination. In parallel, we compared PL composition of primary epithelial (EpCAM-positive) cells, isolated from tumor and adjacent non-tumor tissues of colon cancer patients, with PL profiles of cell lines derived from normal colon mucosa (NCM460) and from colon adenocarcinoma (HCT-116, SW480) cells, respectively. In general, higher total levels of all PL classes were observed in tumor cells. The overall PL profiles of the cell lines, when compared with the respective patient-derived cells, exhibited similarities. Nevertheless, there were also some notable differences in levels of individual PL species. This indicated that epithelial cell lines, derived either from normal colon tissue or from CRC cells, could be employed as models for functional lipidomic analyses of colon cells, albeit with some caution. The biological significance of the observed PL deregulation, or their potential links with specific CRC stages, deserve further investigation.
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Wolrab D, Jirásko R, Chocholoušková M, Peterka O, Holčapek M. Oncolipidomics: Mass spectrometric quantitation of lipids in cancer research. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2019.04.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Arlauckas SP, Browning EA, Poptani H, Delikatny EJ. Imaging of cancer lipid metabolism in response to therapy. NMR IN BIOMEDICINE 2019; 32:e4070. [PMID: 31107583 DOI: 10.1002/nbm.4070] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2018] [Revised: 12/21/2018] [Accepted: 12/21/2018] [Indexed: 06/09/2023]
Abstract
Lipids represent a diverse array of molecules essential to the cell's structure, defense, energy, and communication. Lipid metabolism can often become dysregulated during tumor development. During cancer therapy, targeted inhibition of cell proliferation can likewise cause widespread and drastic changes in lipid composition. Molecular imaging techniques have been developed to monitor altered lipid profiles as a biomarker for cancer diagnosis and treatment response. For decades, MRS has been the dominant non-invasive technique for studying lipid metabolite levels. Recent insights into the oncogenic transformations driving changes in lipid metabolism have revealed new mechanisms and signaling molecules that can be exploited using optical imaging, mass spectrometry imaging, and positron emission tomography. These novel imaging modalities have provided researchers with a diverse toolbox to examine changes in lipids in response to a wide array of anticancer strategies including chemotherapy, radiation therapy, signal transduction inhibitors, gene therapy, immunotherapy, or a combination of these strategies. The understanding of lipid metabolism in response to cancer therapy continues to evolve as each therapeutic method emerges, and this review seeks to summarize the current field and areas of unmet needs.
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Affiliation(s)
- Sean Philip Arlauckas
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Systems Biology, Mass General Hospital, Boston, MA, USA
| | - Elizabeth Anne Browning
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Harish Poptani
- Department of Cellular and Molecular Physiology, Institute of Regenerative Medicine, University of Liverpool, Liverpool, UK
| | - Edward James Delikatny
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Increased fatty acyl saturation of phosphatidylinositol phosphates in prostate cancer progression. Sci Rep 2019; 9:13257. [PMID: 31520002 PMCID: PMC6744559 DOI: 10.1038/s41598-019-49744-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 08/30/2019] [Indexed: 01/12/2023] Open
Abstract
Phosphoinositides (PIPs) participate in many cellular processes, including cancer progression; however, the metabolic features of PIPs associated with prostate cancer (PCa) are unknown. We investigated PIPs profiles in PTEN-deficient prostate cancer cell lines, human prostate tissues obtained from patients with PCa and benign prostate hyperplasia (BPH) specimens using mass spectrometry. In immortalized normal human prostate PNT1B cells, PTEN deficiency increased phosphatidylinositol tris-phosphate (PIP3) and decreased phosphatidylinositol mono- and bis-phosphate (PIP1 and PIP2), consistent with PTEN’s functional role as a PI(3,4,5)P3 3-phosphatase. In human prostate tissues, levels of total (sum of all acyl variants) phosphatidylinositol (PI) and PIP1 in PCa were significantly higher than in BPH, whereas PIP2 and PIP3 contents were significantly lower than in BPH. PCa patients had significantly higher proportion of PI, PIP1, and PIP2 with 0–2 double bonds in acyl chains than BPH patients. In subgroup analyses based on PCa aggressiveness, mean total levels of PI with 0–2 double bonds in acyl chains were significantly higher in patients with pathological stage T3 than in those with pathological stage T2. These data indicate that alteration of PIPs level and the saturation of acyl chains may be associated with the development and aggressiveness of prostate cancer, although it is unknown whether this alteration is causative.
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Bestard-Escalas J, Maimó-Barceló A, Pérez-Romero K, Lopez DH, Barceló-Coblijn G. Ins and Outs of Interpreting Lipidomic Results. J Mol Biol 2019; 431:5039-5062. [PMID: 31422112 DOI: 10.1016/j.jmb.2019.08.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 08/08/2019] [Accepted: 08/09/2019] [Indexed: 12/20/2022]
Abstract
Membrane lipids are essential for life; however, research on how cells regulate cell lipid composition has been falling behind for quite some time. One reason was the difficulty in establishing analytical methods able to cope with the cell lipid repertoire. Development of a diversity of mass spectrometry-based technologies, including imaging mass spectrometry, has helped to demonstrate beyond doubt that the cell lipidome is not only greatly cell type dependent but also highly sensitive to any pathophysiological alteration such as differentiation or tumorigenesis. Interestingly, the current popularization of metabolomic studies among numerous disciplines has led many researchers to rediscover lipids. Hence, it is important to underscore the peculiarities of these metabolites and their metabolism, which are both radically different from protein and nucleic acid metabolism. Once differences in lipid composition have been established, researchers face a rather complex scenario, to investigate the signaling pathways and molecular mechanisms accounting for their results. Thus, a detail often overlooked, but of crucial relevance, is the complex networks of enzymes involved in controlling the level of each one of the lipid species present in the cell. In most cases, these enzymes are redundant and promiscuous, complicating any study on lipid metabolism, since the modification of one particular lipid enzyme impacts simultaneously on many species. Altogether, this review aims to describe the difficulties in delving into the regulatory mechanisms tailoring the lipidome at the activity, genetic, and epigenetic level, while conveying the numerous, stimulating, and sometimes unexpected research opportunities afforded by this type of studies.
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Affiliation(s)
- Joan Bestard-Escalas
- Lipids in Human Pathology, Institut d'Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), Palma, Balearic Islands, Spain
| | - Albert Maimó-Barceló
- Lipids in Human Pathology, Institut d'Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), Palma, Balearic Islands, Spain
| | - Karim Pérez-Romero
- Lipids in Human Pathology, Institut d'Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), Palma, Balearic Islands, Spain
| | - Daniel H Lopez
- Lipids in Human Pathology, Institut d'Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), Palma, Balearic Islands, Spain
| | - Gwendolyn Barceló-Coblijn
- Lipids in Human Pathology, Institut d'Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), Palma, Balearic Islands, Spain.
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Randall EC, Zadra G, Chetta P, Lopez BGC, Syamala S, Basu SS, Agar JN, Loda M, Tempany CM, Fennessy FM, Agar NYR. Molecular Characterization of Prostate Cancer with Associated Gleason Score Using Mass Spectrometry Imaging. Mol Cancer Res 2019; 17:1155-1165. [PMID: 30745465 PMCID: PMC6497547 DOI: 10.1158/1541-7786.mcr-18-1057] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 12/19/2018] [Accepted: 02/06/2019] [Indexed: 12/31/2022]
Abstract
Diagnosis of prostate cancer is based on histologic evaluation of tumor architecture using a system known as the "Gleason score." This diagnostic paradigm, while the standard of care, is time-consuming, shows intraobserver variability, and provides no information about the altered metabolic pathways, which result in altered tissue architecture. Characterization of the molecular composition of prostate cancer and how it changes with respect to the Gleason score (GS) could enable a more objective and faster diagnosis. It may also aid in our understanding of disease onset and progression. In this work, we present mass spectrometry imaging for identification and mapping of lipids and metabolites in prostate tissue from patients with known prostate cancer with GS from 6 to 9. A gradient of changes in the intensity of various lipids was observed, which correlated with increasing GS. Interestingly, these changes were identified in both regions of high tumor cell density, and in regions of tissue that appeared histologically benign, possibly suggestive of precancerous metabolomic changes. A total of 31 lipids, including several phosphatidylcholines, phosphatidic acids, phosphatidylserines, phosphatidylinositols, and cardiolipins were detected with higher intensity in GS (4+3) compared with GS (3+4), suggesting they may be markers of prostate cancer aggression. Results obtained through mass spectrometry imaging studies were subsequently correlated with a fast, ambient mass spectrometry method for potential use as a clinical tool to support image-guided prostate biopsy. IMPLICATIONS: In this study, we suggest that metabolomic differences between prostate cancers with different Gleason scores can be detected by mass spectrometry imaging.
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Affiliation(s)
- Elizabeth C Randall
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Giorgia Zadra
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Paolo Chetta
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- University of Milan, Milan, Italy
| | - Begona G C Lopez
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sudeepa Syamala
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Sankha S Basu
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jeffrey N Agar
- Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts
| | - Massimo Loda
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Clare M Tempany
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Fiona M Fennessy
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Nathalie Y R Agar
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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Potential Nutritional and Metabolomic Advantages of High Fat Oral Supplementation in Pancreatectomized Pancreaticobiliary Cancer Patients. Nutrients 2019; 11:nu11040893. [PMID: 31010058 PMCID: PMC6521063 DOI: 10.3390/nu11040893] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 04/18/2019] [Indexed: 02/07/2023] Open
Abstract
We examined the effect of high fat oral nutritional supplement (HFS) on the nutritional status, oral intake, and serum metabolites of postoperative pancreaticobiliary cancer patients. Pancreaticobiliary cancer patients were voluntarily recruited. The HFS group received postoperative oral high fat supplementation (80% of total calories from fat; n = 12) until discharge; the control group (non-HFS; n = 9) received none. Dietary intake, anthropometry, blood chemistry, nutritional risk index (NRI), and serum metabolites analyzed by liquid chromatography tandem mass spectrometry were evaluated. Overall, cumulative caloric supply via parental and oral/enteral routes were not different between groups. However, oral fat intake, caloric intake, and NRI scores of the HFS group were higher than those of the non-HFS group with increased oral meal consumption. Oral caloric, fat, and meal intakes correlated with NRI scores. Metabolomics analysis identified 195 serum metabolites pre-discharge. Oral fat intake was correlated with 42 metabolites relevant to the glycerophospholipid pathway. Oral high fat-specific upregulation of sphingomyelin (d18:1/24:1), a previously reported pancreatic cancer-downregulated metabolite, and lysophosphatidylcholine (16:0) were associated with NRI scores. Provision of HFS in postoperative pancreatic cancer patients may facilitate the recovery of postoperative health status by increasing oral meal intake, improving nutritional status, and modulating serum metabolites
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Luberto C, Haley JD, Del Poeta M. Imaging with mass spectrometry, the next frontier in sphingolipid research? A discussion on where we stand and the possibilities ahead. Chem Phys Lipids 2019; 219:1-14. [PMID: 30641043 DOI: 10.1016/j.chemphyslip.2019.01.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 01/02/2019] [Accepted: 01/03/2019] [Indexed: 12/17/2022]
Abstract
In the last ten years, mass spectrometry (MS) has become the favored analytical technique for sphingolipid (SPL) analysis and measurements. Indeed MS has the unique ability to both acquire sensitive and quantitative measurements and to resolve the molecular complexity characteristic of SPL molecules, both across the different SPL families and within the same SPL family. Currently, two complementary MS-based approaches are used for lipid research: analysis of lipid extracts, mainly by infusion electrospray ionization (ESI), and mass spectrometry imaging (MSI) from a sample surface (i.e. intact tissue sections, cells, model membranes, thin layer chromatography plates) (Fig. 1). The first allows for sensitive and quantitative information about total lipid molecular species from a given specimen from which lipids have been extracted and chromatographically separated prior to the analysis; the second, albeit generally less quantitative and less specific in the identification of molecular species due to the complexity of the sample, allows for spatial information of lipid molecules from biological specimens. In the field of SPL research, MS analysis of lipid extracts from biological samples has been commonly utilized to implicate the role of these lipids in specific biological functions. On the other hand, the utilization of MSI in SPL research represents a more recent development that has started to provide interesting descriptive observations regarding the distribution of specific classes of SPLs within tissues. Thus, it is the aim of this review to discuss how MSI technology has been employed to extend the study of SPL metabolism and the type of information that has been obtained from model membranes, single cells and tissues. We envision this discussion as a complementary compendium to the excellent technical reviews recently published about the specifics of MSI technologies, including their application to SPL analysis (Fuchs et al., 2010; Berry et al., 2011; Ellis et al., 2013; Eberlin et al., 2011; Kraft and Klitzing, 2014).
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Affiliation(s)
- Chiara Luberto
- Department of Physiology and Biophysics, Stony Brook University, Stony Brook, NY, United States.
| | - John D Haley
- Department of Pathology, Stony Brook University, Stony Brook, NY, United States
| | - Maurizio Del Poeta
- Department of Molecular Genetics and Microbiology, Stony Brook University, Stony Brook, NY, United States; Division of Infectious Diseases, Stony Brook University, Stony Brook, NY, United States; Institute of Chemical Biology and Drug Discovery, Stony Brook University, Stony Brook, NY, United States; Veterans Administrations Medical Center, Northport, NY, United States
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Lee JH, Yu SE, Kim KH, Yu MH, Jeong IH, Cho JY, Park SJ, Lee WJ, Han SS, Kim TH, Hong EK, Woo SM, Yoo BC. Individualized metabolic profiling stratifies pancreatic and biliary tract cancer: a useful tool for innovative screening programs and predictive strategies in healthcare. EPMA J 2018; 9:287-297. [PMID: 30174764 PMCID: PMC6107458 DOI: 10.1007/s13167-018-0147-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 07/31/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND Pancreatic cancer (PC) and biliary tract cancer (BTC) are highly aggressive cancers, characterized by their rarity, difficulty in diagnosis, and overall poor prognosis. Diagnosis of PC and BTC is complex and is made using a combination of appropriate clinical suspicion, imaging and endoscopic techniques, and cytopathological examination. However, the late-stage detection and poor prognosis of this tumor have led to an urgent need for biomarkers for early and/or predictive diagnosis and improved personalized treatments. WORKING HYPOTHESIS There are two hypotheses for focusing on low-mass metabolites in the blood. First, valuable information can be obtained from the masses and relative amounts of such metabolites, which present as low-mass ions (LMIs) in mass spectra. Second, metabolic profiling of individuals may provide important information regarding biological changes in disease states that is useful for the early diagnosis of PC and BTC. MATERIALS AND METHODS To assess whether profiling metabolites in serum can serve as a non-invasive screening tool for PC and BTC, 320 serum samples were obtained from patients with PC (n = 51), BTC (n = 39), colorectal cancer (CRC) (n = 100), and ovarian cancer (OVC) (n = 30), and from healthy control subjects (control) (n = 100). We obtained information on the relative amounts of metabolites, as LMIs, via triple time-of-flight mass spectrometry. All data were analyzed according to the peak area ratios of discriminative LMIs. RESULTS AND CONCLUSIONS The levels of the 14 discriminative LMIs were higher in the PC and BTC groups than in the control, CRC and OVC groups, but only two LMIs discriminated between PC and BTC: lysophosphatidylcholine (LysoPC) (16:0) and LysoPC(20:4). The levels of these two LysoPCs were also slightly lower in the PC/BTC/CRC/OVC groups compared with the control group. Taken together, the data showed that metabolic profiling can precisely denote the status of cancer, and, thus, could be useful for screening. This study not only details efficient methods to identify discriminative LMIs for cancer screening but also provides an example of metabolic profiling for distinguishing PC from BTC. Furthermore, the two metabolites [LysoPC(16:0), LysoPC(20:4)] shown to discriminate these diseases are potentially useful when combined with other, previously identified protein or metabolic biomarkers for predictive, preventive and personalized medical approach.
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Affiliation(s)
- Jun Hwa Lee
- Biomarker Branch, Research Institute, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Seung Eun Yu
- Biomarker Branch, Research Institute, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Kyung-Hee Kim
- Biomarker Branch, Research Institute, National Cancer Center, Goyang, 10408 Republic of Korea
- Omics Core Laboratory, Research Institute, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Myung Hyun Yu
- Biomarker Branch, Research Institute, National Cancer Center, Goyang, 10408 Republic of Korea
| | - In-Hye Jeong
- Biomarker Branch, Research Institute, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Jae Youl Cho
- Department of Genetic Engineering, Sungkyunkwan University, Suwon, 16419 Republic of Korea
| | - Sang-Jae Park
- Center for Liver Cancer, Hospital, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Woo Jin Lee
- Center for Liver Cancer, Hospital, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Sung-Sik Han
- Center for Liver Cancer, Hospital, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Tae Hyun Kim
- Center for Liver Cancer, Hospital, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Eun Kyung Hong
- Center for Liver Cancer, Hospital, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Sang Myung Woo
- Biomarker Branch, Research Institute, National Cancer Center, Goyang, 10408 Republic of Korea
- Center for Liver Cancer, Hospital, National Cancer Center, Goyang, 10408 Republic of Korea
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, 10408 Republic of Korea
| | - Byong Chul Yoo
- Biomarker Branch, Research Institute, National Cancer Center, Goyang, 10408 Republic of Korea
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, 10408 Republic of Korea
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Lysophospholipid Signaling in the Epithelial Ovarian Cancer Tumor Microenvironment. Cancers (Basel) 2018; 10:cancers10070227. [PMID: 29987226 PMCID: PMC6071084 DOI: 10.3390/cancers10070227] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 07/03/2018] [Accepted: 07/05/2018] [Indexed: 12/12/2022] Open
Abstract
As one of the important cancer hallmarks, metabolism reprogramming, including lipid metabolism alterations, occurs in tumor cells and the tumor microenvironment (TME). It plays an important role in tumorigenesis, progression, and metastasis. Lipids, and several lysophospholipids in particular, are elevated in the blood, ascites, and/or epithelial ovarian cancer (EOC) tissues, making them not only useful biomarkers, but also potential therapeutic targets. While the roles and signaling of these lipids in tumor cells are extensively studied, there is a significant gap in our understanding of their regulations and functions in the context of the microenvironment. This review focuses on the recent study development in several oncolipids, including lysophosphatidic acid and sphingosine-1-phosphate, with emphasis on TME in ovarian cancer.
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Bandu R, Mok HJ, Kim KP. Phospholipids as cancer biomarkers: Mass spectrometry-based analysis. MASS SPECTROMETRY REVIEWS 2018; 37:107-138. [PMID: 27276657 DOI: 10.1002/mas.21510] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Accepted: 05/19/2016] [Indexed: 05/02/2023]
Abstract
Lipids, particularly phospholipids (PLs), are key components of cellular membrane. PLs play important and diverse roles in cells such as chemical-energy storage, cellular signaling, cell membranes, and cell-cell interactions in tissues. All these cellular processes are pertinent to cells that undergo transformation, cancer progression, and metastasis. Thus, there is a strong possibility that some classes of PLs are expected to present in cancer cells and tissues in cellular physiology. The mass spectrometric soft-ionization techniques, electrospray ionization (ESI), and matrix-assisted laser desorption/ionization (MALDI) are well-established in the proteomics field, have been used for lipidomic analysis in cancer research. This review focused on the applications of mass spectrometry (MS) mainly on ESI-MS and MALDI-MS in the structural characterization, molecular composition and key roles of various PLs present in cancer cells, tissues, blood, and urine, and on their importance for cancer-related problems as well as challenges for development of novel PL-based biomarkers. The profiling of PLs helps to rationalize their functions in biological systems, and will also provide diagnostic information to elucidate mechanisms behind the control of cancer, diabetes, and neurodegenerative diseases. The investigation of cellular PLs with MS methods suggests new insights on various cancer diseases and clinical applications in the drug discovery and development of biomarkers for various PL-related different cancer diseases. PL profiling in tissues, cells and body fluids also reflect the general condition of the whole organism and can indicate the existence of cancer and other diseases. PL profiling with MS opens new prospects to assess alterations of PLs in cancer, screening specific biomarkers and provide a basis for the development of novel therapeutic strategies. © 2016 Wiley Periodicals, Inc. Mass Spec Rev 37:107-138, 2018.
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Affiliation(s)
- Raju Bandu
- Department of Applied Chemistry, College of Applied Science, Kyung Hee University, Yong-in City, 446-701, Korea
| | - Hyuck Jun Mok
- Department of Applied Chemistry, College of Applied Science, Kyung Hee University, Yong-in City, 446-701, Korea
| | - Kwang Pyo Kim
- Department of Applied Chemistry, College of Applied Science, Kyung Hee University, Yong-in City, 446-701, Korea
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Kurreck A, Vandergrift LA, Fuss TL, Habbel P, Agar NYR, Cheng LL. Prostate cancer diagnosis and characterization with mass spectrometry imaging. Prostate Cancer Prostatic Dis 2017; 21:297-305. [PMID: 29209003 PMCID: PMC5988647 DOI: 10.1038/s41391-017-0011-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 08/15/2017] [Indexed: 02/06/2023]
Abstract
Background Prostate cancer (PCa), the most common cancer and second leading cause of cancer death in American men, presents the clinical challenge of distinguishing between indolent and aggressive tumors for proper treatment. PCa presents significant alterations in metabolic pathways that can potentially be measured using techniques like mass spectrometry (MS) or mass spectrometry imaging (MSI) and used to characterize PCa aggressiveness. MS quantifies metabolomic, proteomic, and lipidomic profiles of biological systems that can be further visualized for their spatial distributions through MSI. Methods PubMed was queried for all publications relating to MS and MSI in human prostate cancer from April 2007 to April 2017. With the goal of reviewing the utility of MSI in diagnosis and prognostication of human PCa, MSI articles that reported investigations of PCa-specific metabolites or metabolites indicating PCa aggressiveness were selected for inclusion. Articles were included that covered MS and MSI principles, limitations, and applications in PCa. Results We identified nine key studies on MSI in intact human prostate tissue specimens that determined metabolites which could either differentiate between benign and malignant prostate tissue or indicate prostate cancer aggressiveness. These MSI-detected biomarkers show promise in reliably identifying PCa and determining disease aggressiveness. Conclusions MSI represents an innovative technique with the ability to interrogate cancer biomarkers in relation to tissue pathologies and investigate tumor aggressiveness. We propose MSI as a powerful adjuvant histopathology imaging tool for prostate tissue evaluations, where clinical translation of this ex vivo technique could make possible the use of MSI for personalized medicine in diagnosis and prognosis of prostate cancer. Moreover, the knowledge provided from this technique can majorly contribute to the understanding of molecular pathogenesis of PCa and other malignant diseases.
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Affiliation(s)
- Annika Kurreck
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Hematology and Oncology, Charité Medical University of Berlin, Berlin, Germany
| | - Lindsey A Vandergrift
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Taylor L Fuss
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Piet Habbel
- Department of Hematology and Oncology, Charité Medical University of Berlin, Berlin, Germany
| | - Nathalie Y R Agar
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Leo L Cheng
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. .,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Reduced levels of N'-methyl-2-pyridone-5-carboxamide and lysophosphatidylcholine 16:0 in the serum of patients with intrahepatic cholangiocarcinoma, and the correlation with recurrence-free survival. Oncotarget 2017; 8:112598-112609. [PMID: 29348849 PMCID: PMC5762534 DOI: 10.18632/oncotarget.22607] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Accepted: 10/25/2017] [Indexed: 12/13/2022] Open
Abstract
We searched for metabolic biomarkers that may predict the prognosis of patients with intrahepatic cholangiocarcinoma (IHCC). To this end, a total of 237 serum samples were obtained from IHCC patients (n = 87) and healthy controls (n = 150), and serum metabolites were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Two stratified algorithms were used to select the metabolites, the levels of which predicted the prognosis of IHCC patients. We performed MS/MS and multiple-reaction-monitoring MS analyses to identify and quantify the selected metabolites. Continuous biomarker levels were dichotomized based on cutoffs that maximized between-group differences in recurrence-free survival (RFS) in terms of the log-rank test statistic. These RFS differences were analyzed using the log-rank test, and survival curves were drawn with the aid of the Kaplan–Meier method. Six metabolites (l-glutamine, lysophosphatidylcholine [LPC] 16:0, LPC 18:0, N’-methyl-2-pyridone-5-carboxamide [2PY], fibrinopeptide A [FPA] and uric acid) were identified as candidate metabolic biomarkers for predicting the prognosis of IHCC patients. Of these metabolites, levels of l-glutamine, uric acid, LPC 16:0, and LPC 18:0 were significantly lower in the serum from IHCC patients, whereas levels of 2PY and FPA were significantly higher (p < 0.01). 2PY and LPC 16:0 showed significantly better RFS at low level than high level (2PY, median RFS: 15.16 months vs. 5.90 months, p = 0.037; LPC 16:0, median RFS: 15.62 months vs. 9.83 months, p = 0.035). The findings of this study suggest that 2PY and LPC 16:0 identified by metabolome-based approaches may be useful biomarkers for IHCC patients.
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Terada N, Akamatsu S, Kobayashi T, Inoue T, Ogawa O, Antonarakis ES. Prognostic and predictive biomarkers in prostate cancer: latest evidence and clinical implications. Ther Adv Med Oncol 2017; 9:565-573. [PMID: 28794807 PMCID: PMC5524249 DOI: 10.1177/1758834017719215] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 06/13/2017] [Indexed: 01/05/2023] Open
Abstract
Advances in our understanding of the mechanisms driving castration-resistant prostate cancer have promoted the development of several new drugs including androgen receptor-directed therapy and chemotherapy. Concomitant docetaxel treatment at the beginning of hormonal therapy for metastatic prostate cancer has resulted in longer overall survival than with hormonal therapy alone. Elucidating an appropriate treatment sequence using these therapies is important for maximizing clinical benefit in castration-sensitive and castration-resistant prostate cancer patients. The development of advanced high-throughput ‘omics’ technology has enabled the use of novel markers to guide prognosis and treatment of this disease. In this review, we outline the genomic landscape of prostate cancer and the molecular mechanisms of castration-resistant progression, and how these affect the development of new drugs, and their clinical implications for selecting treatment sequence. We also discuss many of the potential tissue-based or liquid biomarkers that may soon enter clinical use, with the hope that several of these prognostic or predictive markers will guide precision medicine for prostate cancer patients in the near future.
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Affiliation(s)
- Naoki Terada
- Department of Urology, Kyoto University, Kyoto, Japan
| | | | | | | | - Osamu Ogawa
- Department of Urology, Kyoto University, Kyoto, Japan
| | - Emmanuel S Antonarakis
- Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, 1650 Orleans Street, CRB1-1M45, Baltimore, MD 21287, USA
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50
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Delgado-Calle J. Osteoclasts Control Lipid Secretion to Regulate Breast Cancer Bone Metastasis. Endocrinology 2017; 158:458-460. [PMID: 28430916 DOI: 10.1210/en.2017-00036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 01/11/2017] [Indexed: 11/19/2022]
Affiliation(s)
- Jesus Delgado-Calle
- Department of Anatomy and Cell Biology, Indiana University School of Medicine, Indianapolis, Indiana 46202; and
- Roudebush Veterans Administration Medical Center, Indianapolis, Indiana 46202
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